Updated on 2025/12/25

写真a

 
Takuya Akashi
 
Organization
Faculty of Environmental, Life, Natural Science and Technology Professor
Position
Professor
External link

Research Areas

  • Informatics / Perceptual information processing

 

Papers

  • Automatic sleep database generation using frame subtraction and machine learning Reviewed International journal

    Mizuki Fukasawa, kazuma Fujimori, Yoshitaka Endo, Takuya Akashi, Yukie Arahata

    Seventeenth International Conference on Quality Control by Artificial Vision   26 - 26   2025.8

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.3081889

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  • Makeup transfer based on non-facial area transfer suppression using color channel information Reviewed International journal

    Yoshitaka Endo, Mako Sasaki, Reiya Katsuragi, Min Zou, Takuya Akashi

    Seventeenth International Conference on Quality Control by Artificial Vision   28 - 28   2025.8

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.3081899

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  • The relationship between human body keypoints and psychological states with machine learning: a pilot study Reviewed International coauthorship International journal

    Reiya Katsuragi, Mizuki Fukasawa, Tetsuya Matsuda, Shinsuke Shimojo, Takuya Akashi

    Seventeenth International Conference on Quality Control by Artificial Vision   25 - 25   2025.8

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.3081881

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  • Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis Reviewed International journal

    Lanlan Bai, Tao Wu, Mizuki Fukasawa, Sayo Kashiwagi, Haruka Tate, Taku Ozaki, Eriko Sugano, Hiroshi Tomita, Tsuyoshi Ishii, Takuya Akashi, Tomokazu Fukuda

    Tissue and Cell   93   102631 - 102631   2025.4

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.tice.2024.102631

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  • A Comparative Analysis of Deepfake Detection Methods Using Overlapping Multiple Dynamic Images Reviewed International coauthorship International journal

    Enkhtaivan Purevsuren, Junya Sato, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   20 ( 6 )   886 - 898   2025.1

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Deepfake technology, which uses artificial intelligence to create realistic fake images, audio, and videos, has raised significant concerns due to its potential for misuse and manipulation. The emergence of deepfake technology poses a significant threat to the integrity of digital content, necessitating robust detection mechanisms. This paper proposes a novel method for deepfake detection by combining Overlapping Multiple Dynamic Images (OMDI) and Inversed Overlapping Multiple Dynamic Images (I‐OMDI). Both representations capture temporal inconsistencies and subtle visual artifacts in fake videos by effectively utilizing spatial–temporal information. Our approach employs EfficientNetB7 as the backbone for feature extraction, enabling the model to distinguish between real and fake videos with high accuracy. By combining OMDI and I‐OMDI with a weighted average strategy, we amplify the strengths of each method. Specifically, we assign equal weights of 0.5 to OMDI and I‐OMDI based on their individual contributions to performance metrics. This balance yields substantial performance improvements across multiple datasets. When evaluated on the Celeb‐DF v2 and DFDC datasets, our proposed model achieves state‐of‐the‐art results, with an AUC score of 0.9952 on Celeb‐DF v2 and 0.9947 on DFDC. These results underscore the robustness of the combined OMDI and I‐OMDI methods in identifying deepfake videos. Furthermore, our model demonstrates superior performance compared to existing methods, including those by Tran et al. and Heo et al., underscoring its effectiveness in practical deepfake detection applications. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

    DOI： 10.1002/tee.24258

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  • Subspace‐Guided Feature Reconstruction for Unsupervised Anomaly Localization Reviewed International journal

    Katsuya Hotta, Chao Zhang, Yoshihiro Hagihara, Takuya Akashi

    IET Image Processing   19 ( 1 )   2025.1

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    Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institution of Engineering and Technology (IET)  

    Unsupervised anomaly localization aims to identify anomalous regions that deviate from normal sample patterns. Most recent methods perform feature matching or reconstruction for the target sample with pre‐trained deep neural networks. However, they still struggle to address challenging anomalies because the deep embeddings stored in the memory bank can be less powerful and informative. Specifically, prior methods often overly rely on the finite resources stored in the memory bank, which leads to low robustness to unseen targets. In this paper, we propose a novel subspace‐guided feature reconstruction framework to pursue adaptive feature approximation for anomaly localization. It first learns to construct low‐dimensional subspaces from the given nominal samples, and then learns to reconstruct the given deep target embedding by linearly combining the subspace basis vectors using the self‐expressive model. Our core is that, despite the limited resources in the memory bank, the out‐of‐bank features can be alternatively “mimicked” to adaptively model the target. Moreover, we propose a sampling method that leverages the sparsity of subspaces and allows the feature reconstruction to depend only on a small resource subset, contributing to less memory overhead. Extensive experiments on three benchmark datasets demonstrate that our approach generally achieves state‐of‐the‐art anomaly localization performance.

    DOI： 10.1049/ipr2.70157

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  • Diagnostic artificial intelligence model predicts lymph node status in non-small cell lung cancer using simplified examination Reviewed International journal

    Ryuichi Yoshimura, Yoshitaka Endo, Takuya Akashi, Hiroyuki Deguchi, Makoto Tomoyasu, Wataru Shigeeda, Yuka Kaneko, Hajime Saito

    Journal of Thoracic Disease   16 ( 11 )   7320 - 7328   2024.11

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：AME Publishing Company  

    DOI： 10.21037/jtd-24-1067

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  • Interactive Skin Lesion Segmentation Considering Behavioral Preference in Clicking Reviewed International journal

    Shuofeng Zhao, Chunzhi Gu, Jun Yu, Takuya Akashi, Chao Zhang

    IEEJ Transactions on Electrical and Electronic Engineering   20 ( 1 )   89 - 100   2024.7

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Interactive Medical Image Segmentation (IMIS) aims to improve the accuracy of image segmentation by incorporating human guidance, primarily through click‐based interactions. IMIS for skin lesion segmentation is a challenging task because the edges of lesion regions on the skin are often ambiguous, and training IMIS models requires the generation of pseudo‐clicks to simulate human clicks. Most previous methods generate pseudo‐clicks by sampling from the entire mis‐segmented region. However, such clicks are inconsistent with human behavior, resulting in performance degradation, particularly for skin lesion segmentation. In this study, we address this issue by integrating human preference into the process of generating pseudo clicks to train the segmentation model, which is simple yet effective. Specifically, through a user study, we find that people are more inclined to click on larger mis‐segmented regions during interactive segmentation. Inspired by this, a roulette selection strategy is used to generate the pseudo‐clicks based on the area of the mis‐segmented subregions. Our proposed method, BehaviorClick, can be easily integrated with existing interactive segmentation models to improve the performance. The accuracy improvement on four dermoscopic datasets under six state‐of‐the‐art interactive segmentation methods is confirmed, which demonstrates the generalizability and effectiveness of our approach. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

    DOI： 10.1002/tee.24172

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  • Performance Comparison of Semantic Segmentation Models and Loss Functions for Seat Belt Detection Reviewed

    Junya Sato, Takuya Akashi

    IEEJ Transactions on Electronics, Information and Systems   144 ( 7 )   665 - 671   2024.7

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    Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejeiss.144.665

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  • TriClick: Interactive Dermoscopic Image Segmentation with Triangle Map Reviewed International journal

    Shuofeng Zhao, Chunzhi Gu, Jun Yu, Takuya Akashi, Chao Zhang

    IEEJ Transactions on Electrical and Electronic Engineering   19 ( 5 )   733 - 744   2024.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Lesion segmentation is a fundamental task that has been widely studied in biomedicine. State‐of‐the‐art methods still struggle with the inherent challenges of dermoscopic images such as uncertain boundaries or severe occlusion. In this study, we argue that this task can be better resolved by introducing user interaction and proposing a deep interactive framework for lesion segmentation. Our method is designed to best reflect user expertise to iteratively refine the segmentation results. In each iteration, professional users are expected to click three points on the boundary of the lesion to encourage the network to update the previous round of the segmentation result. To best exploit the clues from the interaction, we explore a novel encoding strategy by producing a triangle map whose vertices are the three clicked points. Owing to the strong guidance within such triangle maps, our method can outperform state‐of‐the‐art methods with baseline segmentation backbones. Extensive experimental results and ablation studies on three commonly used lesion segmentation data sets demonstrated the effectiveness of our method in terms of segmentation accuracy and encoding effectiveness. © 2024 The Authors. IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

    DOI： 10.1002/tee.24020

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  • Systematic Face Pareidolia Generation Method Using Cycle‐Consistent Adversarial Networks Reviewed International coauthorship International journal

    Yoshitaka Endo, Rinka Asanuma, Shinsuke Shimojo, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   19 ( 4 )   535 - 541   2024.1

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    Pareidolia is a psychological tendency of perceiving a face in non‐face stimulus. As a majority of people globally experience this tendency, it has been extensively studied and measured in terms of tendencies, such as frequencies. However, no study has investigated the systematic manipulation of stimulus owing to the lack of a systematic image‐generation method. Therefore, herein, we generated face pareidolia stimuli using a face data set with annotated data. We employed cycle‐consistent adversarial networks (CycleGAN), an image‐to‐image‐style translation framework, to generate stimuli for translating natural‐image styles from face images. We manipulated the weight of the cycle‐consistency loss in the CycleGAN via an experiment to evaluate the image generated using the CycleGAN. Thus, we found that the weight value of the evaluation experiment correlated with the pareidolia‐inducing power when the preprocessing of the face data set was applied to the blur process. As a result, we achieved to systematically generate pareidolia stimuli. © 2024 The Authors. IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

    DOI： 10.1002/tee.23997

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  • Seat Belt Detection Using Genetic Algorithm-Based Template Matching Reviewed International journal

    Junya Sato, Yueqi Zhao, Takuya Akashi

    IEEJ Journal of Industry Applications   13 ( 1 )   91 - 97   2024.1

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

    DOI： 10.1541/ieejjia.23006981

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  • Saury Sensing for Packaging Reviewed International journal

    Min Zou, Mengbo You, Yoichi Kageyama, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   18 ( 5 )   771 - 780   2023.5

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    DOI： 10.1002/tee.23776

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  • PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering Reviewed International journal

    Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang

    Computational Visual Media   9 ( 3 )   479 - 494   2023.3

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsupervised learning techniques. However, when dealing with large datasets, representation of each data point by referring to all data points via a dictionary suffers from high computational complexity. To alleviate this issue, we introduce a parallelizable multi-subset based self-expressive model (PMS) which represents each data point by combining multiple subsets, with each consisting of only a small proportion of the samples. The adoption of PMS in subspace clustering (PMSSC) leads to computational advantages because the optimization problems decomposed over each subset are small, and can be solved efficiently in parallel. Furthermore, PMSSC is able to combine multiple self-expressive coefficient vectors obtained from subsets, which contributes to an improvement in self-expressiveness. Extensive experiments on synthetic and real-world datasets show the efficiency and effectiveness of our approach in comparison to other methods.

    DOI： 10.1007/s41095-022-0293-5

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    Other Link： https://link.springer.com/content/pdf/10.1007/s41095-022-0293-5.pdf

  • A System for Measuring the Frequency of Micro-Periodic Motion Against Varying Backgrounds Using Periodicity Reviewed International coauthorship International journal

    Mizuki Fukasawa, Sai Sun, Shinsuke Shimojo, Takuya Akashi

    2023 International workshop on advanced image technology (IWAIT)   Poster Session III   63 - 63   2023.1

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    Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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  • Preservation of conditioned behavior based on UV light sensitivity in dissected tail halves of planarians – a proof by DNN Reviewed International coauthorship International journal

    Kensuke Shimojo, Reiya Katsuragi, Eiko Shimojo, Takuya Akashi, Shinsuke Shimojo

    Journal of Vision   22 ( 14 )   3639 - 3639   2022.12

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    Publishing type：Research paper (scientific journal)   Publisher：Association for Research in Vision and Ophthalmology (ARVO)  

    DOI： 10.1167/jov.22.14.3639

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  • Preservation of Conditioned Behavior Based on UV Light Sensitivity in Dissected Tail Halves of Planarians- a Proof by DNN Reviewed

    Kensuke Shimojo, Eiko Shimojo, Reiya Katsuragi, Takuya Akashi, Shinsuke Shimojo

    2022.11

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    Publisher：Cold Spring Harbor Laboratory  

    Planarians are aquatic worms with powerful regenerative and memory retention abilities. This paper examines whether a dissected tail half of a Planarian (Dugesia Dorotocephala) can retain and exhibit a previously-conditioned response, possibly before the regeneration of the head and the ganglia. We conditioned intact Planarians in a Pavlovian procedure with an electric shock (ES) as the unconditioned stimulus and weak ultraviolet (UV) light as the conditioned stimulus. Then, we dissected their bodies into halves, keeping the dissected tail halves. Starting from the 2nd day after dissection, we presented the same UV light 3 times daily while video-recording the responses. The recorded responses were then classified by a DNN: a VGG16 model was pre-trained by ImageNet for extracting features from images and additionally trained with 211 responses to ES and 118 to UV light before conditioning/dissection to categorize planarians’ reactions into “UV-induced” or “ES-induced” reactions. The cross-validated accuracy in categorization was 83.6%. We then let the DNN analyze 99 recorded responses to UV from 20 individual conditioned tail halves. 96.8 % of their reactions were classified as “ES-induced” (against 22.0% wrongly classified as “ES-induced” for unconditioned samples under UV), indicating they have shown the “Conditioned Response” (p<3.06E-30). This provides evidence that planarians can conserve and reveal a learned response even without the head/ganglia, as it takes approximately 7 days for the head/ganglia to regenerate versus the given 2-3 days. Although similar findings have been reported repeatedly in the literature, this is the first positive evidence with automated procedures and DNN classification. The result implies the presence of a decentralized nervous structure outside of its head/ganglia that allows a tail half to retain memory and execute motion accordingly, despite their cephalization.

    DOI： 10.1101/2022.10.30.514395

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  • Curb Detection Using a Novel Deep Learning Framework Based on YOLO-v2 Reviewed

    Min Zou, Yoichi Kageyama, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   17 ( 9 )   1321 - 1329   2022.9

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1002/tee.23647

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  • DS‐SRI: Diversity similarity measure against scaling, rotation, and illumination change for robust template matching Reviewed

    Yi Zhang, Chao Zhang, Takuya Akashi

    IET Image Processing   16 ( 10 )   2738 - 2751   2022.5

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    Publishing type：Research paper (scientific journal)   Publisher：Institution of Engineering and Technology (IET)  

    DOI： 10.1049/ipr2.12521

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    Other Link： https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12521

  • Investigation of influence of loss function weights of cycle-consistent adversarial networks on generation of pareidolia stimuli Reviewed

    Yoshitaka Endo, Shinsuke Shimojo, Takuya Akashi

    International Workshop on Advanced Imaging Technology (IWAIT) 2022   65 - 65   2022.5

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    Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.2625964

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  • Generation of dynamic images for fake-face detection Reviewed

    Enkhtaivan Purevsuren, Uuganbayar Ganbold, Akashi Takuya

    International Workshop on Advanced Imaging Technology (IWAIT) 2022   31 - 31   2022.5

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    Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.2625235

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  • Artificial Bee Colony for Affine and Perspective Template Matching Reviewed

    Junya Sato, Takayoshi Yamada, Kazuaki Ito, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   17 ( 4 )   566 - 574   2022.4

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    Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    DOI： 10.1002/tee.23542

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    Other Link： https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23542

  • Template Matching via Search History Driven Genetic Algorithm Reviewed

    Takumi Nakane, Takuya Akashi, Chao Zhang

    INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2022   12177   2022

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1117/12.2624210

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  • Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint Reviewed

    Tsubasa Takano, Takumi Nakane, Takuya Akashi, Chao Zhang

    Sensors   21 ( 8 )   2775 - 2775   2021.4

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    Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    In this paper, we propose a method to detect Braille blocks from an egocentric viewpoint, which is a key part of many walking support devices for visually impaired people. Our main contribution is to cast this task as a multi-objective optimization problem and exploits both the geometric and the appearance features for detection. Specifically, two objective functions were designed under an evolutionary optimization framework with a line pair modeled as an individual (i.e., solution). Both of the objectives follow the basic characteristics of the Braille blocks, which aim to clarify the boundaries and estimate the likelihood of the Braille block surface. Our proposed method was assessed by an originally collected and annotated dataset under real scenarios. Both quantitative and qualitative experimental results show that the proposed method can detect Braille blocks under various environments. We also provide a comprehensive comparison of the detection performance with respect to different multi-objective optimization algorithms.

    DOI： 10.3390/s21082775

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  • Reconstruction of Partially Occluded Facial Image for Classification Reviewed

    Min Zou, Mengbo You, Takuya Akashi

    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING   16 ( 4 )   600 - 608   2021.4

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1002/tee.23335

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  • Illumination robust template matching based on nearest neighbor Reviewed

    Yi Zhang, Chao Zhang, Takuya Akashi

    International Workshop on Advanced Imaging Technology (IWAIT) 2021   2021.3

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    Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.2590778

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  • Application of Facial Symmetrical Characteristic to Transfer Learning Reviewed

    Min Zou, Mengbo You, Takuya Akashi

    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING   16 ( 1 )   108 - 116   2021.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1002/tee.23273

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  • Performance Comparison of Population-Based Meta-Heuristic Algorithms in Affine Template Matching Reviewed

    Junya Sato, Takayoshi Yamada, Kazuaki Ito, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   16 ( 1 )   117 - 126   2021.1

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc  

    DOI： 10.1002/tee.23274

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  • Application of evolutionary and swarm optimization in computer vision: a literature survey Reviewed

    Takumi Nakane, Naranchimeg Bold, Haitian Sun, Xuequan Lu, Takuya Akashi, Chao Zhang

    IPSJ Transactions on Computer Vision and Applications   12 ( 1 )   2020.12

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in solving combinatorial and NP-hard optimization problems in various research fields. However, in the field of computer vision, related surveys have not been updated during the last decade. In this study, inspired by the recent development of deep neural networks in computer vision, which embed large-scale optimization problems, we first describe a literature survey conducted to compensate for the lack of relevant research in this area. Specifically, applications related to the genetic algorithm and differential evolution from EAs, as well as particle swarm optimization and ant colony optimization from SAs and their variants, are mainly considered in this survey.

    DOI： 10.1186/s41074-020-00065-9

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    Other Link： https://link.springer.com/content/pdf/10.1186/s41074-020-00065-9.pdf

  • A vision system for canning with fish sensing using rule-based matching and segmentation Reviewed

    Yi Zhang, Mengbo You, Tasuku Miyoshi, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   15 ( 6 )   956 - 964   2020.6

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc.  

    DOI： 10.1002/tee.23139

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  • Perspective template matching by differential evolution introducing the group remaking Reviewed

    Junya Sato, Takayoshi Yamada, Kazuaki Ito, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   15 ( 6 )   918 - 927   2020.6

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    Publishing type：Research paper (scientific journal)   Publisher：Wiley  

    DOI： 10.1002/tee.23134

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    Other Link： https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23134

  • Defect inspection of coated automobile roofs using a single camera Reviewed

    Jing Zhang, Masaki Kikuta, Chao Zhang, Akiyoshi Ito, Kenichi Anmi, Yoichi Matsui, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   15 ( 4 )   616 - 625   2020.4

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc.  

    DOI： 10.1002/tee.23096

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  • Multi-scale template matching with scalable diversity similarity in an unconstrained environment Reviewed

    Yi Zhang, Chao Zhang, Takuya Akashi

    30th British Machine Vision Conference 2019, BMVC 2019   2020

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：BMVA Press  

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  • Center-Symmetrical Object Detection Based on Gabor Wavelets Reviewed

    Yi Zhang, Min Zou, Mengbo You, Takuya Akashi

    IEEE ACCESS   8   220869 - 220877   2020

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/ACCESS.2020.3043528

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  • Blur-countering keypoint detection via eigenvalue asymmetry Reviewed

    Chao Zhang, Xuequan Lu, Takuya Akashi

    IEEE Access   8   159077 - 159088   2020

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

    DOI： 10.1109/ACCESS.2020.3020561

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  • Bird species classification with audio-visual data using CNN and multiple kernel learning Reviewed

    Naranchimeg Bold, Chao Zhang, Takuya Akashi

    Proceedings - 2019 International Conference on Cyberworlds, CW 2019   85 - 88   2019.10

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

    DOI： 10.1109/CW.2019.00022

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  • Recurrent bidirectional visual human pose retrieval Reviewed

    Haitian Sun, Chao Zhang, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   14 ( 7 )   1074 - 1081   2019.7

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc.  

    DOI： 10.1002/tee.22902

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  • Vision-based Facial Oil Blotting Paper Counting Reviewed

    Junya Sato, Takayoshi Yamada, Kazuaki Ito, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   vol.14 ( no.6 )   899 - 907   2019.2

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    Language：English   Publishing type：Research paper (scientific journal)  

    In the production of facial oil blotting papers, a certain number of papers must be counted before packaging. Currently, the papers are counted by hand, and this is hard work. Also, there are risks of adhesion of dust and wrinkles. In order to solve these problems, we propose a vision-based approach. After the papers, which are arranged by shifting, are captured, the proposed image processing steps detect the boundaries of the papers. By counting the detected boundaries, the number of papers can be counted. Since the parameters for the proposed image processing are optimized by genetic algorithm, prior setting by a user is not necessary. For the experiments, an image dataset was constructed with six types of facial oil blotting papers. The proposed method achieved higher F-measure than in other related works. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

    DOI： 10.1002/tee.22880

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  • An Easy-Parallelizable Evolutionary Optimization Algorithm via Probabilistic Bit-Wise Operation for Template Matching Reviewed

    Takumi NAKANE, Takuya AKASHI, Chao ZHANG

    Journal of the Japan Society for Precision Engineering   85 ( 1 )   98 - 106   2019.1

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    Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Precision Engineering  

    Pixel-based dense template matching still plays an important role in object localization tasks especially in the case of feature-less sequences. Instead of exhaustive search methods, optimization-based search strategy can converge to the global optimum faster by avoiding unnecessary tests. However, due to the presence of local optimums, conventional methods usually fail to converge in practice. In this paper, in order to prevent the optimization procedure from falling into a local optimal solution, we introduce a novel evolutionary operation called probabilistic bit-wise operation (PBO) into the framework of genetic algorithm (GA). Specifically, utilizing a natural phenomenon that the change of a higher-bit in an individual affect more than the lower-bit, the diversity of a population-based evolution algorithm can be well controlled by flipping each bit with different probabilities being assigned. Also, unlike crossover in GA, PBO only requires a single individual as the input, thus the parallelization can be easily implemented without considering the dependence between individuals. In the experiment, we compare against several classic optimization methods such as particle swarm optimization, GA, particle filter to show the superiority of PBO with a specific simulated benchmark. We also apply our method to a real sequence to show the practicality.

    DOI： 10.2493/jjspe.85.98

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  • A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation Reviewed

    Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang

    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION)   300 - 301   2019

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1145/3319619.3321890

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  • 3D Point Cloud Retrieval with Bidirectional Feature Match Reviewed

    Naranchimeg Bold, Chao Zhang, Takuya Akashi

    IEEE Access   7   164194 - 164202   2019

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

    DOI： 10.1109/ACCESS.2019.2952157

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  • Cross-domain deep feature combination for bird species classification with audio-visual data Reviewed

    Naranchimeg Bold, Chao Zhang, Takuya Akashi

    IEICE Transactions on Information and Systems   E102D ( 10 )   2033 - 2042   2019

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    DOI： 10.1587/transinf.2018EDP7383

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  • Horizontal line detection using genetic algorithm Reviewed

    Uuganbayar Ganbold, Takuya Akashi, Chao Zhang, Hiroyuki Tomita, Hitoshi Kubota

    Proceedings of SPIE - The International Society for Optical Engineering   11049   2019

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    DOI： 10.1117/12.2521591

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  • Affine Template Matching by Differential Evolution with Adaptive Two-Part Search Reviewed

    Junya Sato, Takuya Akashi, Takayoshi Yamada, Kazuaki Ito

    IEEJ Transactions on Electrical and Electronic Engineering   vol.14 ( no.4 )   615 - 622   2018.12

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    In this paper, we address the affine template matching of general images. The extensive search space of affine transformations necessitates effective searches of the global optimum. The proposed method utilizes differential evolution (DE), which is a method of metaheuristic optimization, to achieve that goal. Self-adaptive DEs can be useful and are applicable in a wide range of studies as they tune crossover rate and scaling factor (F) themselves over generation iteration. However, this approach is not particularly good for affine template matching because the population often converges to local optima. In order to solve this problem, the population is divided into two equal groups for exploitation and exploration. The former group utilizes current-to-best/1, and the latter group adopts improved current-to-rand/1 for the mutation scheme. Furthermore, the proportion of the population sizes of the two groups are linearly changed on the basis of the best sum of absolute difference error measurements over each generation. These ideas are easy and simple, but experimental results have revealed our method to be more accurate than the state-of-the-art method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

    DOI： 10.1002/tee.22844

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  • Automatic Visual Inspection Method for Coated Surface Having Orange Peel Effect Reviewed

    Adiljan Yimit, Akiyoshi Itou, Youichi Matsui, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   vol.14 ( no.3 )   433 - 440   2018.10

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    In many production processes, defect detection has played an important role in preventing the outflow of defective products. As such, there are still many production lines that rely on an inspector's visual observation. In this study, using fluorescent tubes as an irradiation light source, we propose a simple and effective visual inspection method for detecting convex defect on painted surfaces having an orange peel effect. The proposed method detects and distinguishes painted surface defects in an area illuminated by fluorescent tubes, using the combination of local segmented results and gradient information computed with different differential operations. The inspection device for detecting the defect can be easily installed in the production line without changing the production line, and can be constructed at a low cost without using additional adaptations. The performance of the proposed method was evaluated with the data of real products captured with an inspection device installed on the production line. Experimental results show that this method can provide a better detection in the inspection region with a low false-detection rate. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

    DOI： 10.1002/tee.22824

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  • A Visual Marker based Image Annotation Tool with Projective Transformation Reviewed

    Haitian Sun, Mengbo You, Chao Zhang, Takuya Akashi

    Proceedings - 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Mecatronics 2018   61 - 66   2018.10

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    DOI： 10.1109/MECATRONICS.2018.8495744

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  • Construction of a novel Robot system for fixed can-filling works in fishery processing Reviewed

    Tasuku Miyoshi, Shuta Sato, Takuya Akashi, Makoto Sasaki, Masakatsu Ogasawara, Yasuyuki Tsuda

    Japan Journal of Food Engineering   vol.19 ( no.3 )   173 - 184   2018.9

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    DOI： 10.11301/jsfe.18517

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  • Merging Scored Bounding Boxes with Gaussian Mixture Model for Object Detection Reviewed

    Chunzhi Gu, Takumi Nakane, Takuya Akashi, Chao Zhang

    Proceedings of The 6th IIAE International Conference on Intelligent Systems and Image Processing 2018   2018.9

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    Publishing type：Research paper (international conference proceedings)   Publisher：The Institute of Industrial Application Engineers  

    DOI： 10.12792/icisip2018.048

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  • Basic Study on Facial Oil Blotting Paper Counting Using a Webcam Reviewed

    Junya SATO, Gifu University, Toru KOIDE, Gifu Universiry, Yu-ki Kishi, Gifu University, Takayoshi YAMADA, Gifu University, Kazuaki Shibata, Gifu University, Kazuaki ITO, Gifu University, Takuya AKASHI, Gifu Uni

    65 - 70   2018

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  • Multi-view Face Detection using Frontal Face Detector Reviewed

    Mengbo You, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   Vol.13 ( No.7 )   1011 - 1019   2018

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  • Deterministic Crowding Introducing the Distribution of Population for Template Matching Reviewed

    Junya Sato, Takuya Akashi

    IEEJ Transactions on Electrical and Electronic Engineering   Vol.13 ( No.3 )   480 - 488   2018

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  • GAを用いた深層学習の学習係数最適化に関する検討 Reviewed

    佐藤惇哉, 相澤宏旭, 加藤邦人, 山田貴孝, 伊藤和晃, 明石卓也

    ビジョン技術の実利用ワークショップ   153 - 156   2017.12

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  • High-Speed Multiview Face Localization and Tracking with a Minimum Bounding Box Using Genetic Algorithm Reviewed

    Junya Sato, Takuya Akashi

    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING   12 ( 5 )   736 - 743   2017.9

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    DOI： 10.1002/tee.22460

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  • Steady State GAを用いたポリゴンの最適化による顔画像近似

    佐藤惇哉, 伊藤和晃, 山田貴孝, 明石卓也

    第22回日本顔学会大会（フォーラム顔学2017）   57 - 57   2017.9

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  • 適応的な遺伝的操作による安定した顔検出に関する研究

    佐藤惇哉, 山田貴孝, 伊藤和晃, 明石卓也

    ライフエンジニアリング部門シンポジウム2017   67 - 67   2017.9

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  • 顔のスケッチ画像を用いた特徴点検出への影響に関する調査 Reviewed

    佐藤惇哉, 稲垣貴大, 山田貴孝, 明石卓也

    第23回画像センシングシンポジウム   CD-ROM   2017.6

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  • A novel rat head gaze determination system based on optomotor responses Reviewed

    Mengbo You, Toshiyuki Yamane, Hiroshi Tomita, Eriko Sugano, Takuya Akashi

    PLOS ONE   12 ( 4 )   e0176633   2017.4

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    DOI： 10.1371/journal.pone.0176633

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  • Two-Side Agreement Learning for Non-Parametric Template Matching Reviewed

    Chao Zhang, Takuya Akashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E100D ( 1 )   140 - 149   2017.1

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    DOI： 10.1587/transinf.2016EDP7233

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  • Face Alignmentにおけるスケッチした顔画像の特徴調査

    稲垣貴大, 佐藤惇哉, 明石卓也

    平成28年度芸術科学会東北支部大会   2017.1

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  • ハフ変換による整列された物体の境界線検出に関する研究

    工藤奨平, 佐藤惇哉, 明石卓也

    平成28年度芸術科学会東北支部大会   2017.1

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  • 多色ポリゴンの重ね合わせによる画像表現

    佐藤惇哉, 明石卓也

    平成28年度第3回芸術科学会東北支部研究会   2016.11

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  • 画像と主成分分析を用いた顔輪郭の基礎的分析

    佐藤惇哉, 成田潤也, 盛田忠臣, 明石卓也

    第21回日本顔学会大会   2016.11

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  • 顔領域と美容黄金比楕円の差の統計処理による顔型分類

    佐藤惇哉, 明石卓也

    NICOGRAPH   2016.11

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  • Robust Non-Parametric Template Matching with Local Rigidity Constraints Reviewed

    Chao Zhang, Haitian Sun, Takuya Akashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E99D ( 9 )   2332 - 2340   2016.9

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    DOI： 10.1587/transinf.2015EDP7492

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  • Robust Projective Template Matching Reviewed

    Chao Zhang, Takuya Akashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E99D ( 9 )   2341 - 2350   2016.9

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    DOI： 10.1587/transinf.2016EDP7038

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  • Researches in Computer Vision Laboratory Reviewed

    Junya Sato, Chao Zhang, Takuya Akashi

    72 - 72   2016.5

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  • スクリーンの動的な向きの変化に頑健な自動補正 Reviewed

    引屋敷和博, 佐藤惇哉, 明石卓也

    動的画像処理実利用化ワークショップ   2016.3

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  • 進化的手法を用いた複数基礎図形検出 Reviewed

    平野靖尚, 佐藤惇哉, 明石卓也

    動的画像処理実利用化ワークショップ   2016.3

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  • ステレオカメラを用いた頭部3次元姿勢情報に関する正解データの取得

    成田伶, 佐藤惇哉, 明石卓也

    平成27年度芸術科学会東北支部大会   2016.1

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  • Development of Underwater Robot for Cleaning Tank Floor

    KOYAMA Takeshi, YONEKURA Tatsuro, HAGIHARA Yoshihiro, AKASHI Takuya, KIM Chyon Hae, SASAKI Makoto, TAKAGI Motoki, MIYOSHI Tasuku

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)   2016   1A2 - 17a5   2016

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    <p>In order to contribute to fisheries industry in Iwate which was damaged by the Great East Japan Earthquake, we have developed prototypes of robots, that assist resource management, fish catch, seafood processing or circulation. By culture of fishes and shellfishes, it is physical and economical burden for fisherman to clean sewage such as remaining feed or excrement deposited at the bottom of the sea(sea culture) or at a tank floor(land culture). To reduce the burden and to improve breeding environment, we have developed a prototype of an underwater robot to clean a bottom of tank. In this paper, the concepts, system design and developed robot are described.</p>

    DOI： 10.1299/jsmermd.2016.1A2-17a5

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  • Evolutionary Multi-view Face Tracking on Pixel Replaced Image in Video Sequence Reviewed

    Junya Sato, Takuya Akashi

    7th International Conference on Soft Computing and Pattern Recognition   322 - 327   2015.11

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    DOI： 10.1109/SOCPAR.2015.7492767

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  • High-Speed and Local-Changes Invariant Image Matching Reviewed

    Chao Zhang, Takuya Akashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E98D ( 11 )   1958 - 1966   2015.11

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    DOI： 10.1587/transinf.2015EDP7093

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  • テンプレートマッチングによる遺伝的アルゴリズムとパーティクルフィルタの比較

    佐藤惇哉, 明石卓也

    電気学会知覚情報次世代産業システム合同研究会   2015.8

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  • Investigation of Face Tracking Accuracy by Obscuration Filters for Privacy Protection Reviewed

    Junya Sato, Takuya Akashi

    Irish Machine Vision and Image Processing Conference   121 - 124   2015.8

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  • Region Growing Method Using Edge for Hand Extraction

    Chiharu Minamikawa, Ryo Sato, Junya Sato, Takuya Akashi

    平成27年電気学会電子・情報・システム部門大会   2015.8

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  • Robust Visual Tracking via Coupled Randomness Reviewed

    Chao Zhang, Yo Yamagata, Takuya Akashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E98D ( 5 )   1080 - 1088   2015.5

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    DOI： 10.1587/transinf.2014EDP7210

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  • DIA2015参加報告

    佐藤惇哉, 平野靖尚, 明石卓也

    平成26年度第4回芸術科学会東北支部研究会   2015.3

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  • キャリブレーション不要な進化的歪み補正に関する基礎研究

    引屋敷和博, 佐藤惇哉, 明石卓也

    平成26年度第4回芸術科学会東北支部研究会   2015.3

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  • Deterministic Crowdingによる円検出に関する研究 Reviewed

    平野靖尚, 佐藤惇哉, 明石卓也

    動的画像処理実利用化ワークショップ   2015.3

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  • Improved Face Tracking with Privacy Protection using Half Ellipse and Additional Region Matching Reviewed

    Daichi Oikawa, Junya Sato, Takuya Akashi

    2015 Joint Conference of IWAIT and IFMIA   CD-ROM   2015.1

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  • Deterministic Crowdingのテンプレートマッチングへの適応

    太田雄大, 佐藤惇哉, 平野靖尚, 明石卓也

    平成26年度芸術科学会東北支部大会   2015.1

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  • ViEW2014参加報告（日本国内におけるコンピュータビジョンの最新動向）

    佐藤惇哉, 張潮, 明石卓也

    平成26年度芸術科学会東北支部大会   2015.1

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  • Profile Face Detection using Flipping Scheme with Genetic Algorithm Reviewed

    Mengbo You, Takuya Akashi

    2015 10TH ASIAN CONTROL CONFERENCE (ASCC)   2015

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  • Compressive Image Retrieval with Modified Images Reviewed

    Chao Zhang, Takuya Akashi

    2015 10TH ASIAN CONTROL CONFERENCE (ASCC)   2015

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  • Face Tracking with Protection of the Privacy using Color Histogram and Evolutionary Video Processing Reviewed

    Daichi Oikawa, Junya Sato, Takuya Akashi

    The 2nd International Conference on Intelligent Systems and Image Processing   229 - 232   2014.9

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  • 眉毛検出における動的な閾値決定に関する研究

    小松紗矢香, 佐藤惇哉, 明石卓也

    平成25年度第1回芸術科学会東北支部大会   2014.1

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  • 正面顔輝度分布モデルを用いた顔検出手法の改良

    佐藤惇哉, 明石卓也

    平成25年度第3回芸術科学会東北支部研究会   2013.12

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  • The Investigation of the method for the Maintenance of Diversity of PSO in Video Processing

    Junya Sato, Takuya Akashi

    平成25年電気学会産業応用部門大会ヤングエンジニアポスターコンペティション   2013.8

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  • Sensing of traffic flow in real-world for reconstruction in VR Reviewed

    Guo Tian, Takuya Akashi

    2013 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW)   386 - 386   2013

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    DOI： 10.1109/CW.2013.32

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  • Cube Detection and Pose Estimation using Property of a Cube with Evolutionary Method Reviewed

    Kazuki Hiyama, Takuya Akashi

    2013 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW)   171 - 174   2013

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    DOI： 10.1109/CW.2013.24

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  • Improvement of Evolutionary Driver's Eye Sensing Method Reviewed

    Takuya Akashi, Hitoshi Kubota, Hiroyuki Tomita, Hiroyuki Konno

    First International Symposium on Future Active Safety Technology toward zero-traffic-accident   CD-ROM   2013

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  • Performance Comparison between GA and PSO in Video Processing Reviewed

    Junya Sato, Takuya Akash

    11th International Conference on Quality Control by Artificial Vision   162 - 167   2013

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  • An Evolutional Pedestrian Detection Method with Probability-Based Model Reviewed

    Chao Zhang, Takuya Akash

    11th International Conference on Quality Control by Artificial Vision   156 - 161   2013

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  • Model-Based Object Pose Estimation Using Evolutionary Method -The Evaluation of Blurring and Template Size- Reviewed

    Maiko Kagaya, Takuya Akash

    2013 International Workshop on Nonlinear Circuits, Communications and Signal Processing NCSP'13   612 - 615   2013

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  • Cell Nucleus Detection with Evolutionary Method for a Single Image Reviewed

    Junya Sato, Takuya Akash

    2013 International Workshop on Nonlinear Circuits, Communications and Signal Processing NCSP'13   572 - 575   2013

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  • Detection of Rushing out into the Street Using the Change of Scene Reviewed

    Shinnosuke Naito, Takuya Akash

    2013 International Workshop on Advanced Image Technology   1056 - 1061   2013

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  • 進化的手法による細胞核検出およびセンシングに関する基礎研究 Reviewed

    佐藤惇哉, 明石卓也

    ビジョン技術の実利用ワークショップ   2012.12

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  • Decay rate and l2 gain analysis for the particle swarm optimization algorithm Reviewed

    Yuji Wakasa, Kanya Tanaka, Takuya Akashi, Yuki Nishimura

    ASIAN JOURNAL OF CONTROL   14 ( 1 )   125 - 136   2012.1

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    DOI： 10.1002/asjc.263

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  • 進化的手法を用いた事前学習が不要な正面顔検出

    佐藤惇哉, 明石卓也

    平成23年度第1回芸術科学会東北支部大会   2012.1

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  • Frontal Face Detection with Evolutionary Template Matching Reviewed

    Junya Sato, Takuya Akashi

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)   1930 - 1933   2012

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  • Evolutionary Face Tracking by Intensity Distribution Model Reviewed

    Junya Sato, Takuya Akash

    NICOGRAPH International 2012   134 - 139   2012

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  • Evolutionary Driver's Eye Sensing Method Reviewed

    Takuya Akashi, Hitoshi Kubota, Hiroyuki Tomita, Hiroyuki Konno

    First International Symposium on Future Active Safety Technology toward zero-traffic-accident   (CD-ROM TS2-6-1-1)   2011

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  • PSO-BASED SIMULTANEOUS TUNING METHOD FOR PID CONTROLLERS AND DEAD-ZONE COMPENSATORS AND ITS APPLICATION TO ULTRASONIC MOTORS Reviewed

    Yuji Wakasa, Kanya Tanaka, Takuya Akashi, Yuki Nishimura

    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL   6 ( 10 )   4593 - 4604   2010.10

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  • Improved Feature Generation Property in Fast Statistical Learning Algorithm Reviewed

    Kazuhiro Nakaura, Tadahiro Oyama, Satoru Tsuge, Takuya Akashi, Minoru Fukumi

    International Workshop on Advanced Image Technology   CD-ROM   2010

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  • Evolutionary Object Detection by Sketch Template with Masking Reviewed

    Yoshiki Kubota, Takuya Akashi

    International Workshop on Advanced Image Technology   CD-ROM   2010

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  • Interactive Color Tracking with Particle Filter Reviewed

    Maiko Kudo, Takuya Akashi

    International Workshop on Advanced Image Technology   CD-ROM   2010

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  • Importance of Physiological Knowledge for Interactive Interface with Evolutionary Eye Sensing Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    International Workshop on Advanced Image Technology   CD-ROM   2010

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  • 送信信号デューティ比変更法による超音波レーダ型離床検知装置の非干渉化 Reviewed

    山田陽, 田中幹也, 春山和男, 若佐裕治, 明石卓也

    電気学会論文誌D（産業応用部門誌）   Vol.130 ( No.5 )   599 - 604   2010

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  • Particle Swarm Optimization アルゴリズムの安定性解析 Reviewed

    若佐裕治, 田中幹也, 明石卓也

    システム制御情報学会論文誌   Vol.23 ( No.1 )   9 - 15   2010

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    Stability of the particle swarm optimization algorithm is analyzed without any simplifying assumptions made in the previous works. To evaluate the convergence speed of the algorithm, the decay rate is introduced, and a method for finding the largest lower bound of the decay rate is presented. The proposed method is based on linear matrix inequality techniques, and therefore is carried out efficiently by using convex optimization tools. Numerical examples are given to show that the analysis method is reasonable and effective to select the parameters in the algorithm.

    DOI： 10.5687/iscie.23.9

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  • Investigation of Accuracy for Drawing of Object Detection Method with Sketch Reviewed

    Yoshiki Kubota, Takuya Akashi, Minoru Fukumi, Yoshisuke Kurozumi

    7th International Forum on Multimedia and Image Processing   CD-ROM   2010

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  • Improvement of Likelihood in Particle Filter for Interactive Color Tracking Reviewed

    Maiko Kudo, Takuya Akashi, Minoru Fukumi, Yoshisuke Kurozumi

    7th International Forum on Multimedia and Image Processing   CD-ROM   2010

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  • Decoupling of getting up detection device using ultrasonic radar by changing duty ratio of transmission wave Reviewed

    Yo Yamada, Kanya Tanaka, Kazuo Haruyama, Yuji Wakasa, Takuya Akashi

    IEEJ Transactions on Industry Applications   130 ( 5 )   3 - 604   2010

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    DOI： 10.1541/ieejias.130.599

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  • PI Control Adjusted by GA for Ultrasonic Motor Reviewed

    Kanya Tanaka, Yuji Wakasa, Takuya Akashi, Masato Oka

    ELECTRICAL ENGINEERING IN JAPAN   169 ( 1 )   59 - 65   2009.10

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    DOI： 10.1002/eej.20842

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  • DETECTION AND RECOGNITION OF VEHICLE LICENSE PLATES USING TEMPLATE MATCHING, GENETIC ALGORITHMS AND NEURAL NETWORKS Reviewed

    Stephen Karungaru, Minoru Fukumi, Norio Akamatsu, Takuya Akashi

    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL   5 ( 7 )   1975 - 1985   2009.7

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  • PID Controller Tuning Based on the Covariance Matrix Adaptation Evolution Strategy Reviewed

    Akira Yoshida, Shinji Kanagawa, Yuji Wakasa, Kanya Tanaka, Takuya Akashi

    ICROS-SICE International Joint Conference 2009   2982 - 2986   2009

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  • Stability and l(2) Gain Analysis for the Particle Swarm Optimization Algorithm Reviewed

    Yuji Wakasa, Kanya Tanaka, Takuya Akashi

    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9   1748 - 1753   2009

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  • Intelligent IMC-PID Control for Ultrasonic Motor Reviewed

    Shenglin Mu, Kanya Tanaka, Yuji Wakasa, Takuya Akashi, Nobuaki Kobayashi, Shigeru Uchikado, Yasuhiro Osa

    2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2   195 - +   2009

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  • Improvement of Evolutionary Eye Sensing with Buccal Region Reviewed

    Takuya Akashi, Toshiya Nishimura, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    2009 RISP Int'l Workshop on Nonlinear Circuits and Signal Processing   463 - 466   2009

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  • 双対分解による分散型モデル予測制御 Reviewed

    若佐裕治, 荒川瑞恵, 田中幹也, 明石卓也

    システム制御情報学会論文誌   Vol.22 ( No.10 )   357 - 363   2009

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  • Hour-gass neural network based daily money flow estimation for automatic teller machines Reviewed

    Stephen Karungaru, Takuya Akashi, Miyoko Nakano, Minoru Fukumi

    IEEJ Transactions on Electronics, Information and Systems   129 ( 7 )   1325 - 1330   2009

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    DOI： 10.1541/ieejeiss.129.1325

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  • Interactive interface with evolutionary eye sensing and physiological knowledge Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    IEEJ Transactions on Electronics, Information and Systems   129 ( 7 )   1288 - 1295   2009

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    DOI： 10.1541/ieejeiss.129.1288

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  • Image morphing and warping: Application to speech simulation using a single image Reviewed

    Stephen Karungaru, Takuya Akashi, Minoru Fukumi, Norio Akamatsu

    Journal of Advanced Computational Intelligence and Intelligent Informatics   13 ( 4 )   441 - 446   2009

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    DOI： 10.20965/jaciii.2009.p0441

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  • スケジュール型モデル予測制御の改善と空気圧システムへの応用 Reviewed

    若佐裕治, 中村将太, 田中幹也, 明石卓也

    電気学会論文誌C（電子・情報・システム部門誌）   Vol.129 ( No.4 )   671 - 677   2009

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  • 遺伝的アルゴリズムによるCT画像からの肝腫瘍抽出 Reviewed

    明石卓也, 中道功, Stephen Karungaru, 満倉靖恵, 田中幹也, 福見稔

    Journal of Signal Processing 「信号処理」   Vol.13 ( No.1 )   67 - 76   2009

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  • Improvements of scheduled model predictive control and its application to pneumatic systems Reviewed

    Yuji Wakasa, Shota Nakamura, Kanya Tanaka, Takuya Akashi

    IEEJ Transactions on Electronics, Information and Systems   129 ( 4 )   13 - 677   2009

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    DOI： 10.1541/ieejeiss.129.671

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  • Variable Gain Type Intelligent PID control for Ultrasonic Motor Reviewed

    K. Tanaka, Y. Yoshimura, M. Oka, Y. Nishimura, Y. Wakasa, T. Akashi, M. Oka, S. Mu

    Japan Society Applied Electromagnetics and Mechanics   17 ( 3 )   501 - 507   2009

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  • Robust eye tracking for practical use Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi

    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL   11 ( 3 )   377 - 386   2008.5

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  • Decentralized Model Predictive Control via Dual Decomposition Reviewed

    Yuji Wakasa, Mizue Arakawa, Kanya Tanaka, Takuya Akashi

    47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008)   381 - 386   2008

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  • VARIABLE GAIN TYPE IMC-PID SPEED CONTROL FOR ULTRA-SONIC MOTOR Reviewed

    Yoshie Yoshimura, Kanya Tanaka, Yuji Wakasa, Takuya Akashi, Nobuaki Kobayashi, Shigeru Uchikado, Yasuhiro Osa

    2008 WORLD AUTOMATION CONGRESS PROCEEDINGS, VOLS 1-3   513 - +   2008

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  • Interactive Interface Using Evolutionary Eye Sensing Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    11th IASTED Int'l Conf. on Intelligent Systems and Control   181 - 186   2008

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  • Stability analysis of the particle swarm optimization algorithm Reviewed

    Yuji Wakasa, Yuya Watanabe, Akifumi Iwamoto, Kanya Tanaka, Takuya Akashi

    40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications   131 - 136   2008

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  • Improving the Robustness of Lips Sensing with Evolutionary Video Processing Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi

    23rd Int'l Technical Conf. on Circuits/Systems, Computers and Communications   713 - 716   2008

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  • Face Information Processing by Fast Statistical Learning Algorithm Reviewed

    M. Nakano, S. Karungaru, S. Tsuge, T. Akashi, Y. Mitsukura, M. Fukumi

    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8   3229 - +   2008

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  • Edge Detection of Eye Region using Genetic Algorithm Reviewed

    Takuya Akashi, Toshiya Nishimura, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi

    2008 RISP Int'l workshop on Nonlinear Circuits and Signal Processing   88 - 91   2008

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  • Meal assistance robot with ultra sonic motors Reviewed

    Yasuhiro Kodani, Kanya Tanaka, Yuji Wakasa, Takuya Akashi, Masato Oka

    ICMIT 2007: MECHATRONICS, MEMS, AND SMART MATERIALS, PTS 1 AND 2   6794 ( Vol.6794 )   67943O1 - 67943O5   2008

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    DOI： 10.1117/12.783967

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  • 超音波モータの可変ゲイン型内部モデル制御-PID速度制御 Reviewed

    田中幹也, 吉村淑恵, 若佐裕治, 明石卓也

    電気学会論文誌D（産業応用部門誌）   Vol.128 ( No.12 )   1326 - 1332   2008

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  • 鉛直方向変位に基づく転倒検知手法の検討 Reviewed

    田中幹也, 明石卓也, 若佐裕治, 竹内将喜, 藤井文武, 水上嘉樹, 清水雅年, 尾崎文恵

    ライフサポート学会誌   Vol.20 ( No.3 )   3 - 10   2008

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  • Genetic Algorithms based Adaptive Search Area Control for Real Time Multiple Face Detection using Neural Networks Reviewed

    Stephen Karungaru, Minoru Fukumi, Takuya Akashi, Norio Akamatsu

    World Scientific and Engineering Academy and Society Transaction on Signal Processing   Issue 3 ( Vol.4 )   97 - 109   2008

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  • Evolutionary video processing for lip tracking Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    IC-MED International Journal of Intelligent Computing in Medical Sciences and Image Processing   2 ( 2 )   111 - 125   2008

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    DOI： 10.1080/1931308X.2008.10644159

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  • Response Improvement of Shape Memory Alloy Actuators with Peltier Elements Reviewed

    Yuji Wakasa, Yuya Watanabe, Akira Yoshida, Kanya Tanaka, Takuya Akashi

    2008 INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION: (ICMA), VOLS 1 AND 2   586 - 591   2008

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  • Movement Confirmation System using Ultrasonic Radar and Power Line Communications for senior citizens Reviewed

    TANAKA Kanya, HARUYAMA Kazuo, YAMADA You, WAKASA Yuji, AKASHI Takuya

    Japanese Journal of Applied IT Healthcare   2 ( 2 )   95 - 103   2008

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    Aging is rapidly advanced in our country. Therefore, the number of senior citizens increases, too. In the senior citizen's nursing, the movement confirmation is the most important. A lot of s movement confirmation systems for the senior citizens have been proposed so far. However, because a lot of systems are complex and expensive, the introduction was difficult in small scale facilities for senior citizens and an individual house. In this paper, we propose the movement confirmation system, which is safe, cheap, and maintenance free for senior citizens. This system combines an ultrasonic radar (USR) and a power line communication (PLC). USR is composed of the ultrasonic sensor, the ultrasonic transmitter and receiver, and the ultrasonic sensor control unit. USR detects the senior citizens entering a specific range of detection, and transmits the detection signal. PLC receives the detection signal from USR, and informs the signal to the alarm device by using the power line. The alarm device informs the care person and the family who exists in another room of the senior citizen's behavior. The effectiveness of the system is confirmed by field experiment.

    DOI： 10.11204/ithc.2.95

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  • Eye Interface of Meal Assistant System using Evolutionary Video Processing Reviewed

    Nishimura Toshiya, Akashi Takuya, Wakasa Yuji, Tanaka Kanya

    Journal of Life Support Technology   20   53 - 53   2008

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    DOI： 10.5136/lifesupport.20.Supplement_53

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  • Face Gesture Simulation for a Single Image using Image Morphing Reviewed

    KARUNGARU STEPHEN, FUKUMI MINORU, AKASHI1 TAKUYA, AKAMATSU NORIO

    SCIS & ISIS   2008 ( 0 )   631 - 635   2008

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    In this paper, we propose a fully automatic real time one image face gesture simulation using image morphing. Given a single image of a subject, we create several facial expressions of the face by morphing the image based on prior information stored in a databank. The process involves the automatic detection of the control points both on the target image and the source data. The source data is a string of frames containing the desired facial expressions. A face detection neural network, lips detector and edge detectors are employed to detect the face position and features. Five control points and the lips contour, for both the source and target images, are then extracted bvased on the facial features. Triangulation method is then used to match and warp the source image to the target image using the control points.

    DOI： 10.14864/softscis.2008.0.631.0

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  • Variable gain type internal model control-PID speed control for ultrasonic motors Reviewed

    Kanya Tanaka, Yoshie Yoshimura, Yuji Wakasa, Takuya Akashi

    IEEJ Transactions on Industry Applications   128 ( 12 )   2 - 1332   2008

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    DOI： 10.1541/ieejias.128.1326

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  • Fast Statistical Learning with Kernel-Based Simple-FDA Reviewed

    K. Nakaura, S. Karungaru, T. Akashi, Y. Mitsukura, M. Fukumi

    SITIS 2008: 4TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY AND INTERNET BASED SYSTEMS, PROCEEDINGS   333 - +   2008

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    DOI： 10.1109/SITIS.2008.52

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  • A Study on a Fall-Down Detection Method Based on a Body's Vertical Displacement Reviewed

    K.Tanaka, T.Akashi, Y.Wakasa, M.Takeuchi, F.Fujii, Y.Mizukami, M.Shimizu, F.Ozaki

    Journal of Life Support Engineering   20 ( 3 )   93 - 100   2008

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    The purpose of this paper is to investigate a method for detecting a fall-down event based on body's vertical displacement. The vertical displacement is computed from data of a wearable device with a tri-axial accelerometer and three single axis gyroscopes. In order to remove the intrinsic offsets in these sensors, an ofset compensation method is proposed. The effectiveness of the fall-down detection is evaluated by experiments with subjects. Experiments of various kinds of fall-down are carried out. As a result, a threshold to detect the fall-down is fbund. This threshold is 70%of the distance from the ground to the mounted device.

    DOI： 10.5136/lifesupport.20.93

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  • Multiple faces detection in real time using neural networks Reviewed

    Stephen Karungaru, Minoru Fukumi, Takuya Akashi, Norio Akamatsu

    CIMMACS '07: PROCEEDINGS OF THE 6TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS AND CYBERNETICS   64 - +   2007

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  • Downsized Evolutionary Video Processing for Lips Tracking and Data Acquisition Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    Journal of Advanced Computational Intelligence and Intelligent Informatics   Vol.11 ( No.8 )   1030 - 1042   2007

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    DOI： 10.20965/jaciii.2007.p1030

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  • High Speed Genetic Lips Detection by Dynamic Search Domain Control Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    電気学会論文誌C（電子・情報・システム部門誌）   Vol.127 ( No.6 )   854 - 866   2007

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    In this paper, high-speed size and orientation invariant lips detection of a talking person in an active scene using template matching and genetic algorithms is proposed. As part of the objectives, we also try to acquire numerical parameters to represent the lips. The information is very important for many applications, where high performance is required, such as audio-visual speech recognition, speaker identification systems, robot perception and personal mobile devices interfaces. The difficulty in lips detection is mainly due to deformations and geometric changes of the lips during speech and the active scene by free camera motion. In order to enhance the performance in speed and accuracy, initially, the performance is improved on a single still image, that is, the base of video processing. Our proposed system is based on template matching using genetic algorithms (GA). Only one template is prepared per experiment. The template is the closed mouth of a subject, because the application is for personal devices. In our previous study, the main problem was trade-off between search accuracy and search speed. To overcome this problem, we use two methods: scaling window and dynamic search domain control (SD-Control). We therefore focus on the population size of the GA, because it has a direct effect on search accuracy and speed. The effectiveness of the proposed system is demonstrated by performing computer simulations. We achieved a lips detection accuracy of 91.33% at an average processing time of 33.70 milliseconds per frame.

    DOI： 10.1541/ieejeiss.127.854

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  • Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    Journal of Journal of Systemics, Cybernetics and Informatics   Vol.5 ( No.2 )   72 - 78   2007

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  • Servo control of pneumatic systems considering input and output constraints Reviewed

    Yuji Wakasa, Ryouji Sasaki, Kanya Tanaka, Takuya Akashi

    PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3   665 - 670   2007

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  • Fast statistical learning algorithm for feature generation Reviewed

    Minoru Fukumi, Stephen Karungaru, Satoru Tsuge, Miyoko Nakano, Takuya Akashi, Yasue Mitsukura

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT III, PROCEEDINGS   4694 ( Vol.4694 )   91 - +   2007

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  • Some extensions of the monotonic signal estimation method Reviewed

    Osamu Kobayashi, Yuji Wakasa, Kanya Tanaka, Takuya Akashi

    PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8   56 - 59   2007

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  • Development of the detection and reporting device for patients' getting out of bed using ultrasonic radar and power line communication Reviewed

    Kazuo Haruyama, Kanya Tanaka, Yuji Wakasa, Takuya Akashi, You Yamada

    Proceedings of the SICE Annual Conference   484 - 487   2007

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    DOI： 10.1109/SICE.2007.4421032

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  • Eye interface for physically impaired people by genetic eye tracking Reviewed

    Toshiya Nishimura, Motoki Nakashige, Takuya Akashi, Yuji Wakasa, Kanya Tanaka

    PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8   825 - 830   2007

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  • Genetic Eye Tracking for Blinking Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi

    2007 Int'l Conf. on Image Processing, Computer Vision, and Pattern Recognition   60 - 66   2007

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  • Practical Genetic Eye Detection System：Which Is Better, Optical or Digital Zoom? Reviewed

    Takuya Akashi, Toshiya Nishimura, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi

    2007 RISP Int'l Workshop on Nonlinear Circuits and Signal Processing   535 - 538   2007

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  • GA Adjustment Type NN-PID Control for Ultrasonic Motor Reviewed

    TANAKA Kanya, OKA Masato, WAKASA Yuji, AKASHI Takuya, NAGANAWA Akihiro, Kanya TANAKA, Masato OKA, Yuji WAKASA, Takuya AKASHI, Akihiro NAGANAWA

    Journal of the Japan Society of Applied Electromagnetics and Mechanics   Vol.15 ( No.4 )   415 - 421   2007

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  • Development of the detection and reporting device for patients' getting out of bed using ultrasonic radar and power line communication Reviewed

    Kazuo Haruyama, Kanya Tanaka, Yuji Wakasa, Takuya Akashi, You Yamada

    PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8   481 - +   2007

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  • PI Control Adjusted by GA for Ultra-Sonic Motor Reviewed

    Tanaka Kanya, Wakasa Yuji, Akashi Takuya, Oka Masato

    IEEJ Transactions on Sensors and Micromachines   127 ( 6 )   663 - 668   2007

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    This paper proposes a PI control method adjusted by a genetic algorithm (GA) for an ultra-sonic motor (USM). In the proposed method, a proportional and an integral gains are adjusted using GA in order to compensate characteristic variations of the plant. The effectiveness of the proposed method is confirmed by experiments.

    DOI： 10.1541/ieejias.127.663

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  • Genetic Eye Detection Using Artificial Template Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    Journal of Signal Processing 「信号処理」   Vol.10 ( No.6 )   453 - 463   2006

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  • Eye Detection by Genetic Algorithms Reviewed

    Akashi Takuya, Wakasa Yuji, Tanaka Kanya, Karungaru Stephen, Fukumi Minoru, Akamatsu Norio

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers   6   298 - 298   2006

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    In this paper, high-speed size and orientation invariant eye tracking using template matching and genetic algorithms (GAs) is proposed. Moreover, we try to acquire numerical parameters to represent the eye, for example, position, scaling, and rotation angle. Only one artificial template is used for every human user. We achieved an accuracy of 74% at a processing time of 0.03 seconds.

    DOI： 10.11509/sci.SCI06.0.298.0

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  • Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA) Reviewed

    Koh Nakamichi, Stephen Karungaru, Minoru Fukumi, Takuya Akashi, Yasue Mitsukura, Motokatsu Yasutomo

    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE   366 - +   2006

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  • Performance of eye detection by genetic algorithms Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka

    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE   94 - +   2006

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  • A simple 3D edge template for pose invariant face detection Reviewed

    Stephen Karungaru, Minoru Fukumi, Norio Akamatsu, Takuya Akashi

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS   4253 ( Vol.4253 )   692 - 698   2006

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  • Downsized Genetic Algorithm by Automatic Search Domain Control for Lips Detection Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    Joint 3rd Int'l Conf. on Soft Computing and Intelligent Systems and 7th Int'l Symp. on Advanced Intelligent Systems   2006 ( 0 )   1312 - 1317   2006

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

    In this paper, a method of downsizing a genetic algorithm (GA) for lips detection is described. As part of the objectives, we also try to acquire information to represent the lips. GA is very useful for optimization of parameters in complex image matching. When GA is applied to the real-time processing, the search speed is a issue with keeping the accuracy. Using small population is one of the approaches to improve the GA search speed. However, this can cause the low accuracy, because diversity of the population will be lost. In order to avoid this problem, we propose a downsized GA with automatic search domain control. In this paper, the optimization problem is template matching. The target image includes a face of talking person and has significant changes of a whole scene by camera motion. The template image is only one closed mouth and prepared for each environment and person, because of personal use. In simulations, a simple image is used, which is the basis of video sequence. Our proposed method is verified by comparison of a process of evolution between a downsized GA and a standard GA.

    DOI： 10.14864/softscis.2006.0.1312.0

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  • Development and Practice of Self-Assist Learning Material for Fundamental Physics Laboratory based on Concept Matrix Reviewed

    Naoki Ohshima, Shin Muroya, Noriyuki Shinohara, Kazuko Mashiyama, Takehiro Higuchi, Katsuya Satou, Takuya Akashi, Yuko Kishimoto, Souichi Saeki, Yoshihiko Hamomoto

    Int'l Conf. on Physics Education 2006   106   2006

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  • Eye detection and tracking using genetic algorithm Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

    3RD INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS, AND APPLICAT/4TH INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 2   26 - +   2006

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  • Genetic Eye Detection System Reviewed

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi, Norio Akamatsu

    2006 RISP Int'l Workshop on Nonlinear Circuits and Signal Processing   377 - 380   2006

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  • A Communication System using Eye Gaze Reviewed

    Takanori Katada, Mitsunori Kobatake, Yoshie Yoshimura, Takuya Akashi, Yoshiki Mizukami, Yuji Wakasa, Kanya Tanaka

    SICE Annual Conf. 2005   3466 - 3469   2005

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  • Estimation of Face Direction Using Near-Infrared Camera Reviewed

    Takuya Akashi, Hironori Nagayama, Minoru Fukumi, Norio Akamatsu

    2005 RISP Int'l Workshop on Nonlinear Circuits and Signal Processing   231 - 234   2005

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  • Three-dimensional Geometric Information Acquisition of Lips for Natural Scene Reviewed

    Takuya Akashi, Minoru Fukumi, Norio Akamatsu

    2005 RISP Int'l Workshop on Nonlinear Circuits and Signal Processing   123 - 126   2005

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  • Development of Fall Detection System Reviewed

    Yukihiro Koyama, Masayoshi Takeuchi, Takuya Akashi, Yoshiki Mizukami, Yuji Wakasa, Kanya Tanaka, Masatoshi Shimizu, Fumie Osaki

    SICE Annual Conf. 2005   3777 - 3780   2005

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  • 形状に不変な遺伝的口唇領域抽出法 Reviewed

    明石卓也, 満倉靖恵, 福見稔, 赤松則男

    電気学会論文誌C（電子・情報・システム部門誌）   Vol.124 ( No.1 )   128 - 137   2004

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  • Genetic Lips Extraction Method for Varying Shape Reviewed

    Takuya Akashi, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

    IEEJ Transactions on Electronics, Information and Systems   124 ( 1 )   128 - 137   2004

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    DOI： 10.1541/ieejeiss.124.128

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  • Real-time genetic lips region detection and tracking in natural video scenes Reviewed

    T Akashi, M Fukumi, N Akamatsu

    2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2   683 - 688   2004

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  • Genetic lips extraction method with flexible search domain control Reviewed

    T Akashi, M Fukumi, N Akamatsu

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS   3213 ( Vol.3213 )   799 - 806   2004

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  • Invariant lips extraction for variation of horizontal direction Reviewed

    T Akashi, M Fukumi, N Akamatsu

    PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING   58 - 63   2004

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  • Accuracy and Speed Improvement in Lips Region Extraction Reviewed

    Takuya Akashi, Minoru Fukumi, Norio Akamatsu

    8th Australian and New Zealand Conference on Intelligent Information Systems   495 - 500   2003

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  • Tracking of moving object using deformable template Reviewed

    T Akashi, M Fukumi, N Akamatsu

    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS   2773 ( Vol.2773 )   1162 - 1168   2003

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  • Improvement of Lips Region Extraction Method for Lipreading Reviewed

    Takuya Akashi, Minoru Fukumi, Norio Akamatsu

    5th IASTED Int'l Conf. on Signal and Image Processing   127 - 132   2003

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  • Genetic lips extraction method for varying shape Reviewed

    T Akashi, Y Mitsukura, M Fukumi, N Akamatsu

    2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS   982 - 987   2003

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  • Lips Extraction with Template Matching by Genetic Algorithm Reviewed

    Takuya Akashi, Minoru Fukumi, Norio Akamatsu

    6th Int'l Conf. on Knowledge-Based Intelligent Information & Engineering Systems   343 - 347   2002

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▼display all

Books

  • 画像センシングのしくみと開発がこれ1冊でしっかりわかる教科書

    青木, 義満, 明石, 卓也, 大橋, 剛介, 片岡, 裕雄, 杉本, 麻樹, 竹内, 渉, 戸田, 真志, 中嶋, 航大, 門馬, 英一郎, 山田, 亮佑, 輿水, 大和

    技術評論社  2023.6  （ ISBN:9784297135577 ）

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    Total pages：239p   Language：Japanese

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MISC

  • 膵胆道疾患におけるEUS-EG動画の前処理と深層学習を用いた良悪性分類 Reviewed

    西谷来輝,葛城玲弥,遠藤良峻,沖健太朗,小幡泰介,内田大輔,明石卓也

    医用画像情報学会 令和7年度秋季大会   B6   2025.10

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  • 機械学習によるピアノ鍵盤押下動作分類 Reviewed

    笹本 諒,遠藤 良峻,明石 卓也

    iMec2025 第30回知能メカトロニクスワークショップ2025   IM5-2   2025.9

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  • 総胆管結石除去の陰影欠損判別における少量データによる欠損部に着目した画像分類 Reviewed

    葛城玲弥,松三明宏,内田大輔,明石卓也

    iMec2025 第30回知能メカトロニクスワークショップ2025   IM1-5   2025.9

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  • 小児の睡眠段階推定に向けた睡眠動画の前処理と動画分類モデルの有効性の調査 Reviewed

    高橋涼音,深澤瑞基,遠藤良峻,荒畑幸絵,明石卓也

    iMec2025 第30回知能メカトロニクスワークショップ2025   IM1-6   2025.9

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  • 減色処理を用いた葉たばこの自動ラベリングにおけるL*a*b*表色系の有効性評価 Reviewed

    山道里々華,葛城玲弥,鄒 敏 ,明石卓也

    2025年度電気関係学会東北支部連合大会   1H1-06   2025.9

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  • 遺伝的アルゴリズムによる縞模様に基づいたバーコード自動検出手法 Reviewed

    佐々木舞,葛城玲弥,鄒 敏 ,明石卓也

    2025年度電気関係学会東北支部連合大会   1H1-05   2025.9

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  • 適応的画像処理を活用した卵殻の不良検出手法 Reviewed

    深澤瑞基,葛城玲弥,大西謙晋,服部一平,張 精,伊藤浩二,遠藤良峻,明石卓也

    2025年電気学会 情報システム部門大会   OS4-2-4   2025.8

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  • 正解画像に基づいた反射情報による単一画像の反射除去のための損失関数 Reviewed

    葛城玲弥,鈴木直揮,遠藤良峻,明石卓也

    2025年電気学会 情報システム部門大会   OS4-2-2   2025.8

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  • 顔検出 AI における顔パレイドリア体験の調査 Reviewed

    遠藤良峻,浅沼凜果,下條信輔,張 潮,明石卓也

    2025年電気学会 情報システム部門大会   OS4-2-3   2025.8

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  • ヘイズ除去モデルによる物体認識精度向上のための前処理の提案 Reviewed

    大西謙晋,相田春樹,山道里々華,葛城玲弥,深澤瑞基,明石卓也

    情報処理学会 第87回全国大会   6T-08   2025.3

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  • 動画解析による睡眠中の眼球運動の検出手法の提案 Reviewed

    服部一平,高橋涼音,笹本 諒,藤森一真,葛城玲弥,深澤瑞基,遠藤良峻,荒畑幸絵,明石卓也

    情報処理学会 第87回全国大会   4X-03   2025.3

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  • 脚部の姿勢推定のための人間の歩行動作に基づいた後処理の提案 Reviewed

    利根川匠,葛城玲弥,深澤瑞基,下條信輔,松田哲也,明石卓也

    情報処理学会 第87回全国大会   1X-06   2025.3

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  • 回転を考慮した遺伝的アルゴリズムの改良によるバスケットボール姿勢推定 Reviewed

    黒田理,相内飛向,佐々木舞,深澤瑞基,葛城玲弥,明石卓也

    情報処理学会 第87回全国大会   1W-04   2025.3

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  • XRを活用した牛削蹄教育支援システムの開発 Reviewed

    高橋涼音,笹本諒 ,佐々木舞 ,浅沼凜果 ,明石卓也,照井周二 ,佐々木誠 ,岡田啓司

    SI2024 第25回計測自動制御学会システムインテグレーション部門講演会   3C7-07   2024.12

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  • 牛蹄の外形から削蹄領域を推定する牛削蹄教育用AIシステムの開発 Reviewed

    林理⼈,相内⾶向,張精,明⽯卓也,⾼橋正弘,照井周⼆,佐々⽊誠,岡⽥啓司

    SI2024 第25回計測自動制御学会システムインテグレーション部門講演会   3C7-06   2024.12

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  • 既存の顔検出器における顔パレイドリアの誘発に関する研究 Reviewed

    浅沼凜果,遠藤良峻,明石卓也

    2024.11

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  • 機械学習を用いた投球種別予測における使用データの検討 Reviewed

    相内飛向,深澤瑞基,明石卓也

    2024.9

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  • 画像化された生体信号を用いた深層学習による小児の睡眠段階の自動推定 Reviewed

    高橋涼音,藤森一真,深澤瑞基,遠藤 良峻,荒畑幸絵,明石卓也

    2024.9

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  • 手の骨格情報と音情報を組み合わせた転移学習によるギターコード分類 Reviewed

    相田春樹,鈴木直揮,遠藤良峻,明石卓也

    2024.9

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  • 輝度補正画像を活用したピアノ鍵盤押下動作抽出，iMec2024 第29回知能メカトロニクスワークショップ2024 Reviewed

    笹本諒,遠藤 良峻,浅沼 凜果,明石 卓也

    2024.9

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  • 差分画像を用いた睡眠データベース自動生成 Reviewed

    藤森一真,深澤瑞基,荒畑幸絵,明石卓也

    2024.9

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  • バーコード認識のためのキャラクタの幅に着目した歪み補正 Reviewed

    佐々木舞,葛城玲弥,明石卓也

    2024.9

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  • 葉たばこの状態推定のための減色処理を用いた自動ラベリング方法の検討 Reviewed

    山道里々華,葛城玲弥,浅沼凜果,藤森一真,明石卓也

    2024.9

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  • 顔パレイドリア研究に関する動向 Reviewed

    遠藤良峻,浅沼凜果,下條信輔,張 潮,明石卓也

    2024.9

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  • プラナリアの反応分類のための人工動画データによる事前学習 Reviewed

    葛城玲弥,下條研輔,下條英子,下條信輔,明石卓也

    2024.9

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  • 2種のオプティカルフローを組み合わせた往復運動解析手法 Reviewed

    深澤瑞基,下條信輔,明石卓也

    2024.9

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  • SSIMマップを使用した鏡面反射除去結果の可視化手法の提案 Reviewed

    鈴木直揮,葛城玲弥,遠藤良峻,明石卓也

    2024.8

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  • 大規模データによる動画認識モデルと生物工学への応用 Reviewed

    葛城玲弥,Kensuke Shimojo,Eiko Shimojo,Shinsuke Shimojo,明石卓也

    2024.7

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  • バスケットボールの回転検出のための遺伝的アルゴリズムを用いたマッチング手法 Reviewed

    吉本響,深澤瑞基,明石卓也

    2024.3

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  • 病院における夜間睡眠動画のノイズ除去手法の一例 Reviewed

    藤森一真,吉本響,深澤瑞基,荒畑幸絵,明石卓也

    2024.1

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  • 人工知能を用いた顔パレイドリア評価に関する一手法 Reviewed

    浅沼凜果,遠藤良峻,明石卓也

    2024.1

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  • MediaPipeを用いた睡眠時体動の自動検出と撮影条件による精度変化の調査 Reviewed

    高橋涼音, 藤森一真, 吉本響, 深澤瑞基, 荒畑幸絵, 明石卓也

    2023.12

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  • 機械学習を用いた野球における投球予測の検討 Reviewed

    相内飛向, 吉本響, 深澤瑞基, 明石卓也

    2023.12

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  • 葉たばこの状態推定のための学習データ作成手法 Reviewed

    山道里々華, 葛城玲弥, 浅沼凜果, 藤森一真, 明石卓也

    2023.12

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  • カメラを用いたバーコード認識のための面内回転補正 Reviewed

    佐々木舞, 葛城玲弥, 明石卓也

    2023.12

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  • 骨格認識を用いたギター演奏画像を入力とした畳み込みニューラルネットワークによるコード分類 Reviewed

    相田春樹, 鈴木直揮, 遠藤良峻, 明石卓也

    2023.12

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  • ピアノ演奏動作検出におけるMediaPipe Handsの活用 Reviewed

    笹本諒, 遠藤良峻, 浅沼凜果, 明石卓也

    2023.12

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  • 人工知能による肺がんの術前リンパ節転移診断 Reviewed

    遠藤良峻,吉村竜一,齊藤元,明石卓也

    2023.12

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  • 実利用を目指した動画分類のための特徴量抽出手法 Reviewed

    葛城玲弥,Kensuke Shimojo,Eiko Shimojo,Shinsuke Shimojo,明石卓也

    2023.12

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  • 画像解析による生体分子解析技術開発に関する報告 Reviewed

    深澤瑞基,福田智一,明石卓也

    2023.12

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  • セマンティックセグメンテーションによるシートベルト検出に関する基礎検討 Reviewed

    佐藤惇哉, 明石卓也

    2023.9

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  • Ball rotation device to evaluate detection methods of rotation angle Reviewed

    Hibiki Yoshimoto,Mizuki Fukasawa,Keisuke Fujino,Morimichi Furudate,Takuya Akash

    2023.8

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  • 人工知能を用いた肺癌の術前リンパ節転移診断方法 Reviewed

    吉村竜一,遠藤良峻,明石卓也,出口博之,友安信,重枝弥,兼古由香,岩井英頌,齊藤元

    2023.7

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  • 実環境を考慮したバスケットボールセンシングにおけるモデル生成の検討 Reviewed

    秦紘平,吉本響,鈴木直揮,田中誠温,明石卓也

    2023.3

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  • 顔輪郭周辺における色変化の可視化に関する検討 Reviewed

    荒川命,佐々木眞子,葛城玲弥, 遠藤良峻,明石卓也

    2023.1

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  • 顔パレイドリアを引き起こす画像に関する調査実験の検討 Reviewed

    浅沼凜果,遠藤良峻,明石卓也

    2023.1

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  • 顔の非肌色領域除去のための動的な肌色フィルタリング Reviewed

    田中誠温,遠藤良峻,明石卓也

    2023.1

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  • 睡眠時の体動センシングによる体動情報の可視化 Reviewed

    藤森一真,吉本響,深澤瑞基,明石卓也

    2023.1

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  • COCOにおける物体検出のための色情報に基づいた前処理の検討 Reviewed

    長谷川夏紀,葛城玲弥,深澤瑞基,明石卓也

    2023.1

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  • 動的な肌色範囲決定規則と遺伝的アルゴリズムによる手検出の検討 Reviewed

    田中 誠温,遠藤 良峻,明石 卓也

    2022.12

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  • 顔領域以外に着目した損失関数を実装したメイク転送画像改善の検討 Reviewed

    佐々木 眞子,葛城 玲弥,遠藤 良峻, 鄒 敏, 明石卓也

    2022.12

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  • Classification of Two Type Planarians Behavior Based on Pretrained Deep Learning Models Reviewed

    Reiya Katsuragi, Kensuke Shimojo, Eiko Shimojo, Shinsuke Shimojo, Takuya Akashi

    2022.8

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  • Frequency Measurement System for Micro-Periodic Motion: Robust to Background Changes Using Particle Video Reviewed

    Mizuki Fukasawa, Shinsuke Shimojo, Takuya Akashi

    2022.8

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  • Postdictionから着想を得た遺伝的アルゴリズムの動画像処理への応用 Reviewed

    戸来圭佑,遠藤良峻,葛城玲弥,下條信輔,明石卓也

    2022.3

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  • 鏡面反射除去のSSIMによる評価における画像解像度の影響調査 Reviewed

    鈴木直揮,葛城玲弥,北川真拓,遠藤良峻,明石卓也

    2022.3

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  • バスケットボールのシュート時における挙動分析のための追跡手法 Reviewed

    吉本響,深澤瑞基,山本優,明石卓也

    2022.3

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  • デンタルX線画像における不均衡データへのData Augmentationを適応したインプラント分類 Reviewed

    山本優,小山田勇太郎,近藤尚知,明石卓也

    2022.3

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  • 遺伝的アルゴリズムを用いた肌色検出に最適な表色系の調査 Reviewed

    広瀬瑞樹,田中誠温,戸来圭佑,明石卓也

    2022.2

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  • 水中画像における色補正に関する研究紹介 Reviewed

    熊澤理紗,佐々木眞子,豊田安華里,小町恭輔,明石卓也

    2022.1

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  • Parameter-Less Evolutionary Search を用いたテンプレートマッチング

    佐藤惇哉, 山田貴孝, 伊藤和晃, 相澤宏旭, 加藤邦人, 明石卓也

    動的画像処理実利用化ワークショップ DIA2018   IS2-27   2018.3

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  • GAを用いた深層学習の学習係数最適化に関する検討

    佐藤惇哉, 相澤宏旭, 加藤邦人, 山田貴孝, 伊藤和晃, 明石卓也

    ビジョン技術の実利用ワークショップ ViEW2017,IS1-C1   76 - 77   2017.12

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  • Study on Underwater Robot to Investigate Condition of Ship's bottom

    YONEKURA Tatsuro, KOYAMA Takeshi, NAKANO Toshihiro, HAGIHARA Yoshihiro, AKASHI Takuya, KIM Chyon Hae, SASAKI Makoto, TAKAGI Motoki, MIYOSHI Tasuku

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)   2017   2P1 - E12   2017

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    Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

    <p>Although fisheries industry and shipbuilding industry have prospered in Iwate coastal area, they were damaged by the Great East Japan Earthquake. We have aimed to contribute to reconstruction by developing robots for shipbuilding industry. In order to repair a ship, it is fixed to a carriage that conforms to shape of ship's bottom, and pull up from sea to land. Since shape of its bottom is comprehended by a drawing or information from an owner, it is difficult to confirm detailed condition. Therefore, we have developed an underwater robot that can investigate condition of ship's bottom. In this paper, development of the robot and preliminary experiment are described.</p>

    DOI： 10.1299/jsmermd.2017.2P1-E12

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  • 実地試験に向けた水槽底掃除ロボットに関する研究

    小山猛, 米倉達郎, 萩原義裕, 明石卓也, KIM Chyon Hae, 佐々木誠, 高木基樹, 三好扶

    計測自動制御学会システムインテグレーション部門講演会(CD-ROM)   17th   2016

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  • 1507 The Sleep Monitoring System using a Pulsometer

    TOMINO Kazuya, TANAKA Kanya, WAKASA Yuji, AKASHI Takuya

    2009 ( 47 )   525 - 526   2009.2

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    Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

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  • High Speed Lips Region Extraction by Template Matching with Genetic Algorithms in Real Environments

    AKASHI Takuya, FUKUMI Minoru, AKAMATSU Norio

    Technical report of IEICE. HIP   104 ( 168 )   57 - 62   2004.7

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    Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

    In this paper, a lips extraction method by genetic algorithms (GAs), which has simple, high speed properties is described. This method is a visual front end of audio-visual speech recognition systems for mobile devices. Our method is based on template matching with GA. Generally, GA consume use a significant amount of computation time, because the calculation and test of fitness values for generation x population is necessary. Furthermore GA is basically a global optimization algorithm. So, premature convergence in GA often causes it to fail to reach the global optimum. To extract lips region at high speed, the population must be small and a local search must be more efficient. In order to overcome these problems, we propose a method to control search domain flexibly. We compare this method with the previous method by small population. The experimental results show the proposed method is effective compared to traditional methods.

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  • D-12-60 EXTRACTION ACCURACY AND SPEED IMPROVEMENT OF LIPS REGION EXTRACTION

    Akashi Takuya, Fukumi Minoru, Akamatsu Norio

    Proceedings of the IEICE General Conference   2004 ( 2 )   226 - 226   2004.3

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    Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

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Presentations

  • 現場で効く画像診断AIをどう作るか〜医師とAI技術者の協働〜 Invited

    明石卓也

    医用画像情報学会（MII）令和7年度秋季(第203回)⼤会  2025.10.11 

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    Event date： 2025.10.11

    Presentation type：Oral presentation (invited, special)  

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Industrial property rights

  • 表面欠陥検査装置及び表面欠陥検査方法

    伊藤 昭芳, 大澤 博和, 福島 寿昭, 松井 洋一, 菊田 真基, 明石 卓也, 張 精, 遠藤 良峻, 山本 優, 田中誠温

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    Applicant：トヨタ自動車東日本株式会社

    Application no：特願2021-196063  Date applied：2023.6.14

    Patent/Registration no：特許7789310  Date registered：2025.12.12 

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  • 表面欠陥検査装置及び表面欠陥検査方法

    伊藤 昭芳, 大澤 博和, 福島 寿昭, 松井 洋一, 菊田 真基, 明石 卓也, 張 精, 佐藤 国渡, 山本 優, 遠藤 良峻

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    Applicant：トヨタ自動車東日本株式会社

    Application no：特願2021-159570  Date applied：2021.9.29

    Patent/Registration no：特許7716065  Date registered：2025.7.23 

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Awards

  • IEEE Sendai WIE / YP Awards 2025 The Best Paper Prize

    2025.12   IEEE SENDAI WIE   減色処理を用いた葉たばこの自動ラベリングにおける L*a*b*表色系の有効性評価

    山道里々華, 葛城玲弥, 鄒 敏, 明石卓也

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  • 2024年電子・情報・システム部門誌 論文奨励賞

    2025.8   電気学会電子・情報・システム部門   Performance Comparison of Semantic Segmentation Models and Loss Functions for Seat Belt Detection

    Junya Sato, Takuya Akashi

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  • Best paper Award

    2021.9   The Institute of Industrial Applications Engineers   Sifting Method of Defect Candidate on Coated Automobile Roofs based on Binarization and Brightness Difference

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  • Best Presentation Award

    2018.9   The 6th IIAE International Conference on Intelligent Systems and Image Processing 2018   Merging Scored Bounding Boxes with Gaussian Mixture Model for Object Detection

    Chunzhi Gu, Takuya Akashi, Takuya Akashi, Chao Zhang

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    Award type：Award from international society, conference, symposium, etc.  Country：Japan

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  • Best Student Paper Award

    2014.8   The 2nd International Conference on Intelligent Systems and Image Processing ICISIP2014   Face Tracking with Protection of the Privacy using Color Histogram and Evolutionary Video Processing

    Daichi Oikawa, Junya Sato, Takuya Akashi

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    Award type：Award from international society, conference, symposium, etc.  Country：Japan

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  • Best Poster Awards

    2013.10   2013 International Conference on Cyberworlds   Sensing of Traffic flow in Real World for Reconstruction in VR

    Guo Tian, Takuya Akashi

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    Award type：Award from international society, conference, symposium, etc.  Country：Japan

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  • 優秀発表賞

    2013.7   平成25年度4校学術交流会（弘前大学理工学研究科・岩手大学工学部・一関工業高等専門学校・八戸工業高等専門学校）   立方体の特性と進化的手法を利用した実世界における立方体の姿勢推定

    日山一樹, 明石卓也

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

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  • 優秀賞

    2013.6   Art & Technology Tohoku 2013   Smile ☆ Capture

    千田あゆみ, 明石卓也

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    Award type：Award from Japanese society, conference, symposium, etc.  Country：Japan

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  • 論文奨励賞

    2010.9   Electronics, Information and Systems Society, Institute of Electrical Engineers of Japan(IEEJ)   Interactive Interface with Evolutionary Eye Sensing and Physiological Knowledge

    明石卓也

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    Award type：Honored in official journal of a scientific society, scientific journal  Country：Japan

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  • 日本AEM学会論文賞

    2008.11   The Japan Society of Applied Electromagnetics and Mechanics   超音波モータのGA調整型NN-PID制御

    明石卓也, 田中幹也, 若佐裕治, 岡正人, 長縄明大

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    Award type：Honored in official journal of a scientific society, scientific journal  Country：Japan

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  • 学生授業評価表彰「優秀授業」

    2008.6   Faculty of Engineering, Yamaguchi University   ものづくり創成実習I（旧称：電気電子基礎実験I）

    明石卓也, 河本直哉, 倉井聡, 田内康, 平木英治, 松原 篤

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    Award type：Award from publisher, newspaper, foundation, etc.  Country：Japan

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  • Session Best Presentation Award

    2006.9   Joint 3rd Int’l Conf. on Soft Computing and Intelligent Systems and 7th Int’l Symp. on Advanced Intelligent Systems   Downsized Genetic Algorithm by Automatic Search Domain Control for Lips Detection

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

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    Award type：Award from international society, conference, symposium, etc.  Country：Japan

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  • Best paper of those presented in the session：Applications of CCCT in Other Areas & Hybrid Applications

    2006.7   4th Int’l Conf. on Computing, Communications and Control Technologies   Eye Detection and Tracking using Genetic Algorithm

    Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, Minoru Fukumi

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    Award type：Award from international society, conference, symposium, etc.  Country：United States

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  • 学生授業評価表彰「優秀授業」電気電子応用実験I（昼間）

    2006.5   Faculty of Engineering, Yamaguchi University  

    明石卓也, 大崎堅, 岡本昌幸, 平木英治, 村田卓也

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    Award type：Award from publisher, newspaper, foundation, etc.  Country：Japan

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  • 学生授業評価表彰「優秀授業」電気電子応用実験（夜間）

    2006.5   Faculty of Engineering, Yamaguchi University  

    明石卓也, 大崎堅, 岡本昌幸, 平木英治, 村田卓也

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    Award type：Award from publisher, newspaper, foundation, etc.  Country：Japan

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Research Projects

  • Development of a machine learning-based EUS elastography diagnostic support system for pancreatic and biliary diseases

    Grant number：25K15960  2025.04 - 2028.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    小幡 泰介, 明石 卓也, 内田 大輔, 遠藤 良峻

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    Grant amount：\4550000 （ Direct expense: \3500000 、 Indirect expense：\1050000 ）

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  • Basic Research of Cognitive Developmental Robotics with Postdiction and Brain History

    Grant number：22K11547  2022.04 - 2025.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    明石 卓也

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    Grant amount：\4030000 （ Direct expense: \3100000 、 Indirect expense：\930000 ）

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  • Effective use of evolutionary adversarial learning and temporal feature to improve deep learning performatnce

    Grant number：19K11515  2019.04 - 2023.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    明石 卓也

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    Grant amount：\4420000 （ Direct expense: \3400000 、 Indirect expense：\1020000 ）

    本申請では，人工知能のひとつである深層学習において，行動を認知するための人間の脳の仕組みを実現することを目的とする．また，ニューロサイエンス・行動科学分野への大量データ自動解析のツールを提供すると共に，脳の機能の理解に貢献し，機械学習・画像認識の性能飛躍的向上の，一石二鳥以上を狙う．
    人間の脳では，対象物体の動き方の情報を利用して行動を認知している．つまり，空間的特徴量だけではなく，時間的な変化の仕方（時間的特徴量）を学習していると考えられる．そのため，遺伝的アルゴリズムのような進化的手法と敵対学習の組み合わせや，空間的特徴量と時間的特徴量の融合に取り組み，ニューロサイエンス分野の研究協力者と議論し，新たな深層学習のスキームを提案する．
    1年度目では、主な成果として3D Point Cloud Retrieval With Bidirectional Feature Matchという新たな3次元点群の特徴量マッチング手法を提案し，ジャーナル論文として発表することができた．
    2年度目は主として1年度目で収集したデータを用いて実際に特徴量をマッチングする新たなスキームについて検討した．さらに，人間の頭部の検出方法について，深層学習およびTransfer Learningを用いた新たな手法を提案し，ジャーナル論文として発表することができた．さらに，10月以降において，深層学習における時間的特徴量の利用方法について本格的な検討を進めており，動画像ビッグデータの生成法に関する検討も始めた．
    3年度目では，2年目度の研究をさらに発展させ、部分的に遮蔽された頭部の検出に関するジャーナル論文を発表した．また，スポーツ分野における行動・戦略・意図・チームワーク（対人協調）などの精緻な分類，解析方法に応用可能な，空間特徴量と時間特徴量の融合技術の検討を進め，成果をジャーナル論文として投稿中である．また，認知心理学に関連する国際会議において発表予定である．

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  • Research for big data acquisition for a behavior analysis and estimation(Fostering Joint International Research)

    Grant number：16KK0069  2017 - 2019

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Fund for the Promotion of Joint International Research (Fostering Joint International Research)

    Akashi Takuya

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    Grant amount：\14430000 （ Direct expense: \11100000 、 Indirect expense：\3330000 ）

    This research is interdisciplinary international joint research of the computer vision field and the neuroscience field, and obtained the following three results roughly.
    1. The specific posture was used as a query and the technique of discovering the target posture efficiently from a human posture database was established. 2. The new framework of the artificial intelligence which combines different data, such as a sound and a image efficiently and learns was established. 3. The defect of spontaneous rhythm / tempo generation can be measured, and the new behavior experiment paradigm and electroencephalogram measurement paradigm, which can become a simple and objective diagnostic tool were established.
    These 1 and 2 are results of taking take advantage of the knowledge from the neuroscience field. Moreover, 1 and 3 are applicable to the sports science fields in the near future.

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  • Optimization Technology of Sport Motion Analysis and Estimation System by Non-contact and Non-invasive Big Data

    Grant number：16K01647  2016.04 - 2020.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    Akashi Takuya

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    Grant amount：\4680000 （ Direct expense: \3600000 、 Indirect expense：\1080000 ）

    We have accumulated the non-contact and non-invasive sensing research up until now.
    In this research, the big data obtained by these is scrutinized and the framework which determines the extraction method of data, a processing method, a contribution, etc. automatically is established. Thereby, we aim the construction of a more advanced educational foundation for an athlete's training, and use of the big data in the advanced sports science fields, such as teamwork analysis.
    We achieved some results as follows, establishment of the new posture estimation technique; establishment of the multi-modal deep learning framework using different data, such as a sound and a image; discovery of the existence of the rhythm of the spontaneous brain in the neuroscience field; establishment of the tapping frequency analysis paradigm which may provide a simple and objective diagnostic tool for measuring implicit deficits of spontaneous rhythms/tempos generation.

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  • Research on Autonomous Position and Azimuth Keeping for Aquatic Robot in Shallow Ocean

    Grant number：15K20850  2015.04 - 2017.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)

    Kim Chyon Hae, SASAKI Yoshihisa, TOMISAAW Takeya, NAKAJIMA Hisayoshi, FUNATO Shuichi, OYAMA Hirokuni, AKASHI Takuya, MIYOSHI Tasuku, OGASAWARA Toshiki, MATSUBAYASHI Yuriko

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    Grant amount：\4030000 （ Direct expense: \3100000 、 Indirect expense：\930000 ）

    In this research, we developed two aquatic robots and an image processing system based on optical flow in order to estimate the position of the aquatic robots. We also developed an acceleration predictor of the robots that is based on dynamics learning tree (DLT) and FAD learning. We improved the effectiveness of DLT against noise. As a result of the control experiments using these robots, we could confirm the three facts, the robots are able to come back around a goal position when there is no wave, the robots are able to cancel the affection from wave, and the robots are able to go back around goal position and azimuth even when there is wave. The learning and control methods that are developed by this research were also effective for the control of humanoid robots and vehicles.

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  • Non-contact and Non-invasive 3D Motion Sensing without a burden on an operator or an athlete

    Grant number：26750260  2014.04 - 2016.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)

    Akashi Takuya

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    Grant amount：\3640000 （ Direct expense: \2800000 、 Indirect expense：\840000 ）

    Until now, we have succeeded in the feature tracking, such as a head, which do not use any marker. However, the system is not evaluated and the motion is not analyzed in real environment of outdoor. Moreover, it is processing in 2D space. In this research, a lot of special cameras, markers, a special suit, etc. are not used. Furthermore, one of the purpose is establishment as the basic technology for a advanced and practical motion analysis system in 3D space without environmental restrictions. the system was evaluated in real environment the 1st year. The 3D posture estimation technique from 2D skeleton by the naive Bayes classification based on Bayes' theorem and clustering technology was proposed in 2nd. Moreover, the database with annotated data is made.

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  • Research of a Non-contact and Non-invasive Motion Sensing System with Less Stress for the Athlete

    Grant number：24700639  2012.04 - 2014.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)

    AKASHI Takuya

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    Grant amount：\4290000 （ Direct expense: \3300000 、 Indirect expense：\990000 ）

    A main purpose of this research is to develop a motion sensing system for a practical motion analysis of athlete using only one camera without limitation of movement. It is important to establish a practical and firm educational infrastructure for the athlete. With this in mind, in this study, we try to refine a visual human sensing technology, which have been studied by us, through this research. We achieved new non-contact and non-invasive walking pedestrian detection and tracking and finger flexing pose estimation, which is effective for a sports motion sensing of the athlete in the future, using application of a genetic algorithm or the evolutionary video processing

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Class subject in charge

  • Object-Oriented Programming Languages （2025academic year） Fourth semester  - 水1～2,木3～4

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  • Object-Oriented Programming Languages （2024academic year） Fourth semester  - 水1～2,金1～2

  • Object-Oriented Programming Languages （2024academic year） Fourth semester  - 水1～2,金1～2

  • Seminar in Pattern Information Processing （2024academic year） Year-round  - その他

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  • Safety and Security Managements for Engineer （2024academic year） Third semester  - 金5～6

  • Safety and Security Managements for Engineer （2024academic year） Third semester  - 金5～6

  • Calculus （2024academic year） 1st and 2nd semester  - 火1～2

  • Introduction to Information Technology Advanced Track （2024academic year） 1st semester  - 水1～2

  • Engineering English （2024academic year） Late  - その他

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  • Technical Writing 2 （2024academic year） Late  - その他

  • Visual Information Processing （2024academic year） Late  - 金3～4

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