J-GLOBAL

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/SMC54092.2024.10831793

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Other Link： https://dblp.uni-trier.de/db/conf/smc/smc2024.html#YuguchiTCNTYO24

Language：Japanese  

J-GLOBAL

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Publishing type：Research paper (international conference proceedings)   Publisher：cognitivesciencesociety.org  

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Other Link： https://dblp.uni-trier.de/rec/conf/cogsci/2023

Publishing type：Research paper (scientific journal)   Publisher：Frontiers Media SA  

Background

Humanitude approaches have shown positive effects in elderly care. However, the behavioral and neural underpinnings of empathic characteristics in Humanitude-care experts remain unknown.

Methods

We investigated the empathic characteristics of a Humanitude-care expert (YG) and those of age-, sex-, and race-matched controls (n = 13). In a behavioral study, we measured subjective valence and arousal ratings and facial electromyography (EMG) of the corrugator supercilii and zygomatic major muscles while participants passively observed dynamic facial expressions associated with anger and happiness and their randomized mosaic patterns. In a functional magnetic resonance imaging (MRI) study, we measured brain activity while participants passively observed the same dynamic facial expressions and mosaics. In a structural MRI study, we acquired structural MRI data and analyzed gray matter volume.

Results

Our behavioral data showed that YG experienced higher subjective arousal and showed stronger facial EMG activity congruent with stimulus facial expressions compared with controls. The functional MRI data demonstrated that YG showed stronger activity in the ventral premotor cortex (PMv; covering the precentral gyrus and inferior frontal gyrus) and posterior middle temporal gyrus in the right hemisphere in response to dynamic facial expressions versus dynamic mosaics compared with controls. The structural MRI data revealed higher regional gray matter volume in the right PMv in YG than in controls.

Conclusion

These results suggest that Humanitude-care experts have behavioral and neural characteristics associated with empathic social interactions.

DOI： 10.3389/fmed.2023.1059203

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

It is important for caregivers of people with dementia (PwD) to have good patient communication skills as it has been known to reduce the behavioral and psychological symptoms of dementia (BPSD) of PwD as well as caregiver burnout. However, acquiring such skills often requires one-on-one affective training, which can be costly. In this study, we propose affective training using augmented reality (AR) for supporting the acquisition of such skills. The system uses see-through AR glasses and a nursing training doll to train the user in both practical nursing skills and affective skills such as eye contact and patient communication. The experiment was conducted with 38 nursing students. The participants were assigned to either the Doll group, which only used a doll for training, or the AR group, which used both a doll and the AR system. The results showed that eye contact significantly increased and the face-to-face distance and angle decreased in the AR group, while the Doll group had no significant difference. In addition, the empathy score of the AR group significantly increased after the training. Upon analyzing the correlation between personality and changes of physical skills, we found a significant positive correlation between the improvement rate of eye contact and extraversion in the AR group. These results demonstrated that affective training using AR is effective for improving caregivers' physical skills and their empathy for their patients. We believe that this system will be beneficial not only for dementia caregivers but for anyone looking to improve their general communication skills.

DOI： 10.1371/journal.pone.0288175

PubMed

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Reproducing the touching skills of Humanitude by robots is expected to reduce the burden of caregiving by humans and create more acceptable interactions for humans. In this study, we propose a robot hand reproducing the beginning of Humanitude’s touching motion. Specifically, we develop a robot hand with a mechanism following contact surface changes under the beginning of Humanitude’s touch method. To evaluate the robot hand, we confirmed that the robot hand satisfies the designed quantitative indices that represent the desirable touching motion by Humanitude professionals. Furthermore, we also conducted a subjective evaluation to measure the emotional arousal of a subject when touching the subject’s back using the proposed robot hand by contrast with that using a human-mimetic robot hand not considering the Humanitude’s touch method. We confirmed that humans could accept the proposed robot hand to feel more pleasant and less aroused.

DOI： 10.1299/jsmermd.2023.1a2-c18

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

Abstract

Background

While communication with dementia patients is challenging, known educational methods to improve communication skill for medical professionals are lacking. Our study aimed to assess the efficacy of simulated communication skills training for nursing students using augmented reality (AR) with real‐time feedback.

Methods

This is a randomized control study. Twenty‐five nursing students enrolled and learned standardized multimodal comprehensive care communication skills through a self‐learning material, which includes pathophysiology and clinical manifestations of dementia. Subsequently, participants were randomly assigned to one of the two learning systems—AR training or conventional nursing mannequin training. Each group had the training intervention to change the clothes of mannequins for one hour. The mannequin of the AR group was a superimposed computer graphic of an elderly woman’s face which reacted to participants' communication. Further, the communication skills of gaze and voice were evaluated by artificial intelligence (AI) and feedbacked to the participants’ head‐mounted display in real‐time. The conventional training group had the self‐training with nursing mannequins. All participants performed basic nursing care, including changing clothes and bed bath, to simulated patients before and after the training intervention, which were video‐recorded by an eye‐tracking camera and a fixed camera, then the videos were analyzed the communication skills by AI. Additionally, participants' empathy to patients was evaluated by the Jefferson Scale of Empathy‐Health Professions Students Version (JSPE‐HSP). The primary outcome was the proportion of time spent in eye contact during the care to simulated patients. The secondary outcome was the empathy score of JSPE‐HSP.

Results

After the training intervention, the proportion of time spent in eye contact in the AR training group significantly increased than the conventional training group (eye contact 13.6% versus 4.4%, P<0.05). Moreover, the JSPE‐HSP score increased from pre‐training to post‐training in the AR training group, whereas it decreased in the conventional training group [Mean (SD): 9.1 (6.6) versus ‐1.3 (3.8), P<0.01].

Conclusions

The simulated communication skills training for nursing students using augmented reality with real‐time feedback was associated with increased interactive communication skills to simulated patients and the empathy to patients.

DOI： 10.1002/alz.062055

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

DOI： 10.1145/3503252.3533721

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Other Link： https://dblp.uni-trier.de/db/conf/um/umap2022.html#TorresenN22

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

DOI： 10.3389/frobt.2022.1020103

PubMed

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Publishing type：Research paper (scientific journal)  

DOI： 10.16910/jemr.15.2.2

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

DOI： 10.1109/RO-MAN53752.2022.9900706

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Other Link： https://dblp.uni-trier.de/db/conf/ro-man/ro-man2022.html#HaraTN22

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

DOI： 10.1109/ICPR56361.2022.9956508

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Other Link： https://dblp.uni-trier.de/db/conf/icpr/icpr2022.html#TakeuchiN22

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

BACKGROUND: While the number of emergency transfer of dementia elderlies to acute care hospitals has being increasing, paramedics are facing challenges to perform their duties promptly due to difficult communication with patients. OBJECTIVES: To develop the standardized educational system for paramedics specializing to dementia elderlies with the use of artificial intelligence. DESIGN: Single arm, pre-post study. Participants are paramedics in a metropolitan area of Japan. EXPOSURE: The two sessions of standardized multimodal communication training program which contains lecture and workshop were provided twice, 1 month apart. The training consists three parts. 1: Mechanism and clinical manifestations of dementia, 2: Communication skills: face-to-face interaction; mutual gaze, geometric characteristics and duration of eye contact, verbal communication with phonetic elements, and touch interactions. 3: Interaction strategies with dementia elderlies in emergency situation. All participants performed the rescue simulation training before the training and 1 month after the completion of the training, which were video-recorded and analyzed by artificial intelligence (AI). The video was taken by wearable camera with eye-trackers (1st person camera) and fixed camera (3rd person camera). The satisfaction survey of effectiveness on their work and the Jefferson Scale of Empathy for healthcare professionals were also taken. MAIN OUTCOMES: The primary outcome is the change of communication skills in physical position, distance, eye contact with patients, phonetic elements and touch. The system to analyze face-to-face communication; mutual gaze, geometric characteristics and duration of eye contact by AI was developed by our team. Other elements of communications were evaluated manually. Secondary outcome were satisfaction and the empathy to patients. RESULT: 31 paramedics enrolled the study. Prior to the training, 88% had experienced any difficult condition taking care of dementia patients. The video analysis showed significant change of the interactive communication in the direction of approach, eye contacts and duration of mutual gaze. 96.7% considered the training was effective for their daily work and 97.5% of participants recommended this training to a colleague. The score of empathy scale showed no significant change. CONCLUSION: The educational system for paramedics specializing to dementia with the use of artificial intelligence is effective for their work.

DOI： 10.1002/alz.051576

PubMed

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Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communications Engineers (IEICE)  

DOI： 10.1587/transinf.2020edp7218

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

DOI： 10.3389/frobt.2021.650906

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DOI： 10.1080/01691864.2021.1928544

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Publishing type：Research paper (scientific journal)  

DOI： 10.1109/ACCESS.2021.3071406

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Publishing type：Research paper (scientific journal)  

DOI： 10.1145/3432199

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

DOI： 10.1109/ICIP40778.2020.9191100

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Other Link： https://dblp.uni-trier.de/db/conf/icip/icip2020.html#MitsuzumiIKN20

Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10846-019-01052-8

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DOI： 10.1007/s11548-019-02050-9

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Other Link： https://dblp.uni-trier.de/db/journals/cars/cars15.html#NakazawaHMJ20

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Toward the achievement of natural attentive listening using an android, a nodding synchrony behavior with a human talker is an effective nonverbal behavior from the finding of several works. In addition, according to the related work, a human listener’s eyeblinks synchronizes with an android talker’s one in face-to-face communication. Here, we hypothesize if an android which is in the role of a listener imitates eyeblinks and nodding simultaneously a human’s one in face-to-face communication, the android can act more attentive listening behavior. In this paper, we propose a method to imitate human eyeblinks and nodding using an android to synchronize the human’s one. Through the experiment, we confirmed that the android can generate the imitation behaviors of human eyeblinks and nodding.

DOI： 10.1299/jsmermd.2020.1p2-e16

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

DOI： 10.1007/978-3-030-49570-1_33

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Other Link： https://dblp.uni-trier.de/db/conf/hci/hci2020-14.html#HardjasaN20

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

DOI： 10.1007/978-3-030-41299-9_52

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Other Link： https://dblp.uni-trier.de/db/conf/acpr/acpr2019-2.html#OhshimaN19

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

DOI： 10.1007/978-3-030-50249-2_7

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

DOI： 10.1109/RO-MAN46459.2019.8956387

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

DOI： 10.1109/ICCVW.2019.00544

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Other Link： https://dblp.uni-trier.de/db/conf/iccvw/iccvw2019.html#NakazawaH19

Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10015-018-0520-4

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

DOI： 10.1109/CBS46900.2019.9114417

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Other Link： https://dblp.uni-trier.de/db/conf/cbs/cbs2019.html#YoshimuraMNHMMN19

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

DOI： 10.1109/SMC.2018.00154

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Other Link： https://dblp.uni-trier.de/db/conf/smc/smc2018.html#KitazumiN18

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

DOI： 10.1109/SMC.2018.00666

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

DOI： 10.23919/MVA.2019.8757989

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

DOI： 10.3169/mta.7.92

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DOI： 10.1109/ICIP.2019.8803622

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Other Link： https://dblp.uni-trier.de/db/conf/icip/icip2019.html#YamamotoN19

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J-GLOBAL

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Publishing type：Research paper (scientific journal)  

DOI： 10.1089/lap.2017.0406

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

DOI： 10.1587/transinf.2017MVP0020

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Other Link： https://dblp.uni-trier.de/db/journals/ieicet/ieicet101d.html#OgawaNN18

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

DOI： 10.1117/12.2292418

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Other Link： https://dblp.uni-trier.de/db/conf/miigp/miigp2018.html#ChenMKNDHM18

Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Other Link： https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H01779/

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

DOI： 10.23919/MVA.2017.7986842

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Language：English   Publishing type：Part of collection (book)   Publisher：Wiley Blackwell  

DOI： 10.1002/9781118976005.ch21

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Language：Japanese   Publisher：株式会社医学書院  

DOI： 10.11477/mf.1429200917

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Other Link： https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H01779/

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

DOI： 10.1016/j.procir.2017.04.027

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DOI： 10.1080/01691864.2016.1277552

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Other Link： https://dblp.uni-trier.de/db/journals/ar/ar31.html#NakazawaKNN17

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

DOI： 10.1364/JOSAA.33.002264

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/BIOROB.2016.7523632

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Language：English   Publisher：The Japan Society of Mechanical Engineers  

Master-slave surgical robots often employ a motion scaling function, and the surgeon's hand motion is scaled down with a motion scaling ratio and replicated by slave robot(s); however, the operation time can be prolonged if the task requires a smaller motion scaling ratio with a higher accuracy. In this paper, we propose the dynamic control of the motion scaling ratio according to the velocity of the master manipulator(s). Four control modes for controlling the motion scaling ratio were implemented in a master-slave microsurgical robotic system for neurosurgery, and the performance was evaluated by six subjects and compared. The results demonstrated that dynamic motion scaling has the potential for more efficient and comfortable manipulation.

DOI： 10.1299/jsmeicam.2015.6.64

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DOI： 10.1007/978-3-319-15702-3_2

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DOI： 10.2197/ipsjtcva.5.1

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Language：English   Publisher：Information and Media Technologies Editorial Board  

The cornea of the human eye acts as a mirror that reflects light from a person's environment. These corneal reflections can be extracted from an image of the eye by modeling the eye-camera geometry as a catadioptric imaging system. As a result, one obtains the visual information of the environment and the relation to the observer (view, gaze), which allows for application in a number of fields. The recovered illumination map can be further applied to various computational tasks. This paper provides a comprehensive introduction on corneal imaging, and aims to show the potential of the topic and encourage advancement. It makes a number of contributions, including (1) a combined view on previously unrelated fields, (2) an overview of recent developments, (3) a detailed explanation on anatomic structures, geometric eye and corneal reflection modeling including multiple eye images, (4) a summary of our work and contributions to the field, and (5) a discussion of implications and promising future directions. The idea behind this paper is a geometric framework to solve persisting technical problems and enable non-intrusive interfaces and smart sensors for traditional, ubiquitous and ambient environments.

DOI： 10.11185/imt.8.389

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

DOI： 10.1007/s11263-011-0512-5

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DOI： 10.1007/978-3-642-33709-3_12

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

DOI： 10.1016/j.cviu.2011.02.008

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Language：Japanese   Publisher：The Institute of Image Information and Television Engineers  

DOI： 10.3169/itej.64.1830

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Other Link： https://jlc.jst.go.jp/DN/JALC/00360473643?from=CiNii

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Inst. of Image Information and Television Engineers  

DOI： 10.3169/itej.63.1224

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

DOI： 10.1093/ietisy/e91-d.5.1531

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Language：Japanese   Publisher：一般社団法人情報処理学会  

This paper shows the configurations and evaluations of the educational computer system in our university that serves variety types of applications for many numbers of users, reducing Total Cost of Ownership (TCO). As for client operating systems, we developed newly designed diskless Linux. The OS and other applications are loaded from servers through networks; therefore the clients don't have hard drives. This scheme drastically reduces TCO because it is not necessary to replace hard drives which fail most frequently in these types of systems. Also, the software updates of the clients are achieved just by uploading the files in few servers. This also reduces the maintenance cost rather than updating the software stored in local hard drives of many clients. As for the client application software, we installed not only OpenOffice.org or StarSuite, but also Microsoft Office combined with Crossover Office emulator that is highly demanded by end users.

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Language：English   Publishing type：Part of collection (book)   Publisher：Springer US  

DOI： 10.1007/978-0-387-75807_11

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Language：English   Publishing type：Part of collection (book)   Publisher：Springer US  

DOI： 10.1007/978-0-387-75807_6

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

DOI： 10.1080/00071660802094727

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Language：English   Publishing type：Part of collection (book)   Publisher：Springer US  

DOI： 10.1007/978-0-387-75807_7

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

DOI： 10.1007/s11263-007-0039-y

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

DOI： 10.1177/0278364907079430

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DOI： 10.1093/ietisy/e90-d.8.1175

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Language：Japanese   Publisher：The Robotics Society of Japan  

In this paper, we propose a method that enables a biped humanoid robot to reproduce human dance motions with its whole body. Our method is based on the paradigm ofLearning from Observation. In this study, a robot uses its own legs to support the body during a dance performance. We proposeleg task models, which can solve the problems caused by severe constraints in adapting human motions to the legs of a robot. First, elements of the leg task models are recognized from motion data captured from human performances. Then motion data of a robot is regenerated from the recognized elements so that the motion is stably executable on the robot. Our method was verified by experiments on a humanoid robotHRP-2using a traditional folk dance. HRP-2 successfully performed dance motions that were automatically reproduced from motion data captured from human dance performances.

DOI： 10.7210/jrsj.24.388

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DOI： 10.1007/11941354_126

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DOI： 10.1111/j.1467-8659.2006.00964.x

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：The Institute of Electronics, Information and Communication Engineers  

Three dimensional geometry information, as well as live video image, of a disaster site is useful for damage investigation and rescue planning. In this report, presented is an information gathering mobile robot that acquires geometry information of a disaster site. After moving to every location directed by a remote operator, the robot acquires omnidirectional range data by using an omnidirectional range sensor, and estimates its position and orientation from the amount of wheels' rotation and an orientation sensor. Using the estimated location as the initial value, current and past range data are registered by the ICP algorithm. Indoor experiments have shown that the self-localization error was within five percents.

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Language：English   Publisher：Yamashina Institute for Ornitology  

DOI： 10.3312/jyio.36.120

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we present a novel method to estimate several quadric model surface (sphere, cylinder, and cone) parameters from a range image. First, quadric model surface parameters are estimated using Hough transform technique. Based on these estimated parameters, more reliable parameters are calculated using the EM algorithm. We implemented this method and applied to actual range data.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE Computer Society  

DOI： 10.1109/CVPRW.2003.10001

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DOI： 10.1109/IM.2003.1240250

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Publishing type：Research paper (international conference proceedings)   Publisher：IEEE Computer Society  

DOI： 10.1109/ISMAR.2003.1240683

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Other Link： https://dblp.uni-trier.de/db/conf/ismar/ismar2003.html#IkeuchiNHO03

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

DOI： 10.1007/978-0-387-75807_11

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Other Link： http://dblp.uni-trier.de/db/conf/iros/iros2002.html#conf/iros/SagawaONKI02

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Language：English   Publishing type：Research paper, summary (international conference)  

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Language：Japanese   Publisher：[京都] : ヒューマンインタフェース学会  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I032036844

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Language：Japanese   Publisher：学習院大学計算機センター  

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Language：English   Publishing type：Article, review, commentary, editorial, etc. (international conference proceedings)   Publisher：Springer Verlag  

DOI： 10.1007/978-3-319-56687-0_3

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Language：English   Publishing type：Research paper, summary (international conference)  

DOI： 10.1145/2857491.2857504

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DOI： 10.1109/ICPR.2016.7899742

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DOI： 10.1007/978-4-431-55040-2_1

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DOI： 10.1109/ACPR.2013.84

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DOI： 10.1109/ICCVW.2013.106

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DOI： 10.1007/978-3-642-33709-3_12

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DOI： 10.1109/ROBIO.2013.6739576

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This paper presents a new approach for synthesizing dance performance matched to input music, based on the emotional aspects of dance performance. Our analysis method extracts motion rhythm and intensity from motion capture data and musical rhythm, structure from musical signals. We extract candidates of motion segment sets whose features are matched to those of music segments. For synthesizing dance performance, we select the motion segment set whose intensity by Kinect and connectivity is matched to that of music segments. As the result, our system adds an interactive component to live dancing performed by virtual characters.

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

The corneal imaging technique enables extraction of scene information from corneal reflections and realizes a large number of applications including environment map reconstruction and estimation of a person's area of view. However, since corneal reflection images are usually low quality and resolution, the outcome of the technique is currently limited. To overcome this issue, we propose a first non-central catadioptric approach to reconstruct high-resolution scene information from a series of lower resolution corneal images through a super-resolution technique. We describe a three-step process, including (1) single image environment map recovery, (2) multiple image registration, and (3) high-resolution image reconstruction. In a number of experiments we show that the proposed strategy successfully recovers high-frequency textures that are lost in the source images, and also works with other non-central catadioptric systems, e.g., involving spherical mirrors.

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

This paper presents a new approach for synthesizing dance performance matched to input music, based on the emotional aspects of dance performance. Since the sensor reads express intensities of users' body movements, the system can synthesize character motions whose intensities are synchronized to those of users. Our analysis method extracts motion rhythm and intensity from motion capture data and musical rhythm, structure from musical signals. With the results of this analysis, we generate a motion graph that can generate character motions matched to the musical rhythm. For synthesizing dance performance, we select the motion segment set whose intensity by sensor data and connectivity is matched to that of music segments. As the results, our system adds an interactive component to live dancing performed by virtual characters.

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Intuitive and efficient retrieval of motion capture data is essential for effective use of motion capture databases. In this paper, we describe a system that allows the user to retrieve a particular sequence by performing an approximation of the motion with an instrumented puppet. This interface is intuitive because both adults and children have experience playacting with puppets. We develop a novel similarity metric called dual subspace projection method (DSPM) which works even for relatively large databases. We conducted a user study of the system and subjects could find the desired motion with reasonable accuracy from a database consisting of everyday, exercise, and acrobatic behaviors.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper presents a new approach for synthesizing dance performance matched to input music, based on the emotional aspects of dance performance. Our analysis method extracts motion rhythm and inten- sity from motion capture data and musical rhythm, structure from musical signals. We rst extract candidates of motion segment sets whose features are matched to those of music segments. For synthesizing dance perfor- mance, we select the motion segment set whose intensity by accelerometer and connectivity is matched to that of music segments. We evaluate all synthesizing time and matching value.

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DOI： 10.1145/2393347.2396407

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Language：Japanese   Publisher：[大学ICT推進協議会]  

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DOI： 10.5244/C.26.22

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Recently, the geometric relation between a human eye and its image has been formalized to analyze environmental light reflections in the cornea. Proceeding with these efforts, our study proposes a theory of the light transport at the corneal surface including multiple eye poses, develops novel applications, and performs comprehensive experimental evaluation. Based on anthropometric data, a spherical-curvature geometric eye model is developed, and subsequently applied to discuss methods for eye pose estimation from projected circular eye features. The combination of camera and corneal mirror acts as a catadioptric imaging system, for which we describe the back projection to reconstruct the position of a light source, and the forward projection of light from a given source into the image. The theory has several practical applications in scene reconstruction and human-computer interaction, where we discuss the geometric calibration of display-camera setups as one particular problem. We propose a novel approach that eliminates the requirement of special hardware and tedious user interaction by analyzing screen reflections in the cornea. Based on this setting, thorough experimental evaluation shows that simple scene reconstruction results in a large error. We discuss possible reasons and introduce an optimization scheme that achieves feasible results by exploiting geometry constraints within the system. Our study provides sophisticated strategies for analyzing the geometric relation between camera, eye pose, corneal shape, and scene structure within arbitrary dynamic environments. The findings and developments enable novel insights, understanding, and applications in the analysis of human-scene interaction. We believe that this work has implications on several fields and is an important contribution.Recently, the geometric relation between a human eye and its image has been formalized to analyze environmental light reflections in the cornea. Proceeding with these efforts, our study proposes a theory of the light transport at the corneal surface including multiple eye poses, develops novel applications, and performs comprehensive experimental evaluation. Based on anthropometric data, a spherical-curvature geometric eye model is developed, and subsequently applied to discuss methods for eye pose estimation from projected circular eye features. The combination of camera and corneal mirror acts as a catadioptric imaging system, for which we describe the back projection to reconstruct the position of a light source, and the forward projection of light from a given source into the image. The theory has several practical applications in scene reconstruction and human-computer interaction, where we discuss the geometric calibration of display-camera setups as one particular problem. We propose a novel approach that eliminates the requirement of special hardware and tedious user interaction by analyzing screen reflections in the cornea. Based on this setting, thorough experimental evaluation shows that simple scene reconstruction results in a large error. We discuss possible reasons and introduce an optimization scheme that achieves feasible results by exploiting geometry constraints within the system. Our study provides sophisticated strategies for analyzing the geometric relation between camera, eye pose, corneal shape, and scene structure within arbitrary dynamic environments. The findings and developments enable novel insights, understanding, and applications in the analysis of human-scene interaction. We believe that this work has implications on several fields and is an important contribution.

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DOI： 10.1109/ACPR.2011.6166661

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DOI： 10.1145/2019406.2019427

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

平面ディスプレイを光源とみなし,光源パターンを様々に変化させた対象の画像をカメラで撮影し形状復元やHCIに利用する,ディスプレイ・カメラシステムの研究が行われている.このような用途ではディスプレイとカメラの幾何校正を行うことが必要であり,従来法では球面ミラー等の付加的なデバイスを必要とした.本論文ではこれに対し,ユーザの眼球の表面反射を利用することで,特殊なデバイスを必要とせず校正を実現する手法を提案する.本手法ではディスプレイでパターンを投影し,その反射した像をカメラで撮影することでディスプレイ座標とカメラ座標の対応関係を得る.次に,この対応関係と眼球モデル,及びディスプレイサイズの情報を用いて最適化を行うことで解を得る.11名の被験者を用いた実験及びディスプレイとカメラを様々な位置関係で配置した状況に対する実験を行い,本手法の有効性及び様々な状況下での性能を明らかにした.

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

This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applications including robot navigation and automation, in particular with respect to path planning. To achieve robust object classification, we propose the idea of an object feature which represents a distribution of neighboring points around a target point. In addition, rather than processing raw points, we reconstruct polygons from the point data, introducing connectivity to the points. With these ideas, we can refine the Markov Random Field (MRF) calculation with more relevant information with regards to determining "related points". The algorithm was tested against five outdoor scenes and provided accurate classification even in the presence of many classes of interest.

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

We present a novel technique for calibrating display-camera systems from reflections in the user's eyes. Display-camera systems enable a range of vision applications that need controlled illumination, including 3D object reconstruction, facial modeling and human computer interaction. One important issue, though, is the geometric calibration of the display, which requires additional hardware and tedious user interaction. The proposed approach eliminates this requirement by analyzing patterns that are reflected in the cornea, a mirroring device that naturally exists in any display-camera system. We introduce an optimization strategy that is able to refine eye and spherical mirror calibration results. When applied to the eye, it even outperforms spherical mirror calibration unoptimized. Furthermore, we obtain a robust estimation of eye poses which can be used for eye tracking applications. Despite the difficult working conditions, the calibration results are good and should be sufficient for many applications.

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Other Link： http://id.nii.ac.jp/1001/00062861/

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Other Link： http://id.nii.ac.jp/1001/00062862/

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DOI： 10.1145/1507149.1507182

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DOI： 10.1109/ROBOT.2009.5152539

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DOI： 10.1109/ICCV.2009.5459330

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DOI： 10.1109/ICIP.2009.5413885

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DOI： 10.1109/ICIP.2009.5413852

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

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In this research, we propose a method for taking expansive 3D models of environments using highly-accurate laser range data. Laser range data is taken using distance sensors called laser range sensors, which have grown in use over recent years, including such practical applications like Google's street-view. However, trying to model a large-scale environment like a city requires taking data from various locations around the environment, and this data must be aligned with respect to each other. In our method, we initially decide on a location to model, taking range and map data for it and classifying it into multiple regions. We then find the location and orientation on the map that allows the two results to match, giving the location and orientation of the captured range data.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this research, we propose a method for taking expansive 3D models of environments using highly-accurate laser range data. Laser range data is taken using distance sensors called laser range sensors, which have grown in use over recent years, including such practical applications like Google's street-view. However, trying to model a large-scale environment like a city requires taking data from various locations around the environment, and this data must be aligned with respect to each other. In our method, we initially decide on a location to model, taking range and map data for it and classifying it into multiple regions. We then find the location and orientation on the map that allows the two results to match, giving the location and orientation of the captured range data.

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Other Link： http://id.nii.ac.jp/1001/00051745/

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

IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2008) was held in Ancholage, USA, June 22-28 2006. This is a report on CVPR2008 by nine participants.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2008) was held in Ancholage, USA, June 22-28 2006. This is a report on CVPR2008 by nine participants.

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

We present a technique for calibrating display-camera systems from corneal reflections in the user's eyes. Display-camera systems enable a range of vision applications that need controlled illumination including 3D object reconstruction, facial modeling or human computer interaction in everyday environments. An important issue is calibrating the pose of the display with respect to the camera. Such a calibration may be achieved using a planar mirror with attached calibration pattern or a spherical mirror of known size. However, all approaches require additional hardware and user interaction. We propose an automatic way to recover display properties from patterns that are reflected in the cornea, a mirroring device that naturally coexists in any display-camera system. By applying this strategy we also obtain a continuous estimation of eye pose which may be used to calibrate eye tracking systems and generally enhance human-computer interaction.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Recently, considerable research has been conducted on markerless human-body motion capture using volume data. Most studies have used articulated body models that consist of primitives such as cylinders or ellipsoids. However, the methods that use such models require very good initial parameters. This paper proposes a method to find the human posture parameter from just a single frame without any knowledge of previous frames. We first prepare sample volume data which takes various postures, and then cluster them according to the direction of body links. The volumetric feature vector is acquired for each sample and they are learned via the AdaBoost algorithm. The resulting classifier is used for estimating input volume data, and the matched class can be used as an initial parameter for tracking based methods.

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Other Link： http://id.nii.ac.jp/1001/00051779/

Language：English   Publisher：Information Processing Society of Japan (IPSJ)  

We present a technique for calibrating display-camera systems from corneal reflections in the user's eyes. Display-camera systems enable a range of vision applications that need controlled illumination including 3D object reconstruction, facial modeling or human computer interaction in everyday environments. An important issue is calibrating the pose of the display with respect to the camera. Such a calibration may be achieved using a planar mirror with attached calibration pattern or a spherical mirror of known size. However, all approaches require additional hardware and user interaction. We propose an automatic way to recover display properties from patterns that are reflected in the cornea, a mirroring device that naturally coexists in any display-camera system. By applying this strategy we also obtain a continuous estimation of eye pose which may be used to calibrate eye tracking systems and generally enhance human-computer interaction.

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

Recently, considerable research has been conducted on markerless human-body motion capture using volume data. Most studies have used articulated body models that consist of primitives such as cylinders or ellipsoids. However, the methods that use such models require very good initial parameters. This paper proposes a method to find the human posture parameter from just a single frame without any knowledge of previous frames. We first prepare sample volume data which takes various postures, and then cluster them according to the direction of body links. The volumetric feature vector is acquired for each sample and they are learned via the AdaBoost algorithm. The resulting classifier is used for estimating input volume data, and the matched class can be used as an initial parameter for tracking based methods.

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3D video with an arbitrary viewpoint, generated by 3D reconstruction of images captured by multiple cameras, is currently actively researched as a new type of media. In our research, we propose a method to connect different 3D video clips in an attempt to realize interactive 3D video. Conversion of time sequence 3D mesh shapes into skeleton data enables us to find frames that can connect each clip, determine a correspondence between the two mesh shapes, and generate an interpolated path of vertices. The target of our method is a multiple joint model such as a human body, so we can create a human's loop, and naturally switch to a random action at any time. So we can apply this to the creation of interactive media, for example, an object changes when the watcher "touches" it in the virtual immersive space.

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Other Link： http://id.nii.ac.jp/1001/00051926/

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

3D video with an arbitrary viewpoint, generated by 3D reconstruction of images captured by multiple cameras, is currently actively researched as a new type of media. In our research, we propose a method to connect different 3D video clips in an attempt to realize interactive 3D video. Conversion of time sequence 3D mesh shapes into skeleton data enables us to find frames that can connect each clip, determine a correspondence between the two mesh shapes, and generate an interpolated path of vertices. The target of our method is a multiple joint model such as a human body, so we can create a human's loop, and naturally switch to a random action at any time. So we can apply this to the creation of interactive media, for example, an object changes when the watcher "touches" it in the virtual immersive space.

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DOI： 10.1109/eScience.2008.42

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Language：Japanese   Publisher：Japan Society for Educational Technology  

This paper describes Course Management Systems (CMSs) from the viewpoint of Open Source and Open Standard in terms of Software Architecture. CMS is a key information infrastructure for supporting teaching and learning in higher educational institutions. The effective use of CMS requires the integration with Student Information Systems (SIS), e-Library and other information infrastructures, along with strategic planning and sustainable development. In this paper, we also introduce our latest activities to develop next-generation CMS since 2004.

DOI： 10.15077/jjet.KJ00004964294

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Language：Japanese   Publishing type：Rapid communication, short report, research note, etc. (scientific journal)  

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

Reconstruction of real-world scenes from a set of multiple images is a topic in computer vision and 3D computer graphics with many interesting applications. Attempts have been made to real-time reconstruction on PC cluster systems. While these provide enough performance, they are expensive and less flexible. Approaches that use a GPU hardware-acceleration on single workstations achieve real-time framerates for novel-view synthesis, but do not provide an explicit volumetric representation. This work shows our efforts in developing a GPU hardware-accelerated framework for providing a photo-consistent reconstruction of a dynamic 3D scene. High performance is achieved by employing a shape from silhouette technique in advance. Since the entire processing is done on a single PC, the framework can be applied in mobile environments, enabling a wide range of further applications. We explain our approach using programmable vertex and fragment processors and compare it to highly optimized CPU implementations. We show that the new approach can outperform the latter by more than one magnitude and give an outlook for interesting future enhancements.

DOI： 10.1093/ietisy/e90-d.8.1175

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3D human model reconstruction using visual cone intersection between images captured by multiple cameras has been thoroughly researched, but the accuracy of the shape estimation by previous methods is limited due to the use of silhouette images. Increasing the number of cameras can help improve accuracy, but the problems of unsmooth surfaces appearing in the shape data and the disappearance of the surface normal will still remain. In this research, we try to refine this process by reshaping the reconstructed model. First, we estimate a subject's pose from captured human shape data and create a parts-fitted model using standard human model parts prepared in advance. Afterwards, we reshape the parts-fitted model based on the surface normal vector. By doing this, we can obtain an accurate and refined 3D human model that maintains the subject's pose and characteristics of his body.

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Other Link： http://id.nii.ac.jp/1001/00052069/

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DOI： 10.1109/IROS.2007.4399293

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Time sequence 3D data has a broad range of application and is a research area expected for the future development. The time sequence 3D data has such a huge data size that data compression is essential when it is transmitted and saved. This paper proposes a compression method by using the time sequence block-matching with extended 3D Hu invariant moment for the purpose of reduction of the data time redundancy. In this method, the data compression ratio is improved by detecting the rotational motion of an object that is not considered in the existing method.

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Other Link： http://id.nii.ac.jp/1001/00052187/

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In this paper, we propose a novel marker free motion capture method by using volume data. A volume data is reconstructed from multiple camera views at each frame through visual hull based method. Then, the thinness process is performed to idenfity the structure of the volume. Here, we can get the model skeleton graph in which a body and limbs are expressed as the nodes, and links expresses the connectivity between them. We compare the acquired graph and the graphs in the Model Graph Database (MGDB) and find the most similar one. The MGDB contains the example graphs which express the human body postures. Because the nodes of the MGDB graph are labeled according to the body portions, we can know the portions of input graph (skeleton) from the graph matching result. Finally we fit the skeleton and human body portions' model by using the identification results of the body portions. The experiment result shows the validity our approach.

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

This report gives an overview of the 10th IEEE international conference on computer vision (ICCV2005), which was held in Beijing, China, from October 17th to 20th, 2005.

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This report gives an overview of the 10th IEEE international conference on computer vision (ICCV2005), which was held in Beijing, China, from October 17th to 20th, 2005.

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Language：Japanese   Publisher：東京 : 電子情報通信学会情報・システムソサイエティ  

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DOI： 10.1109/MFI.2006.265645

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DOI： 10.1109/ROBOT.2006.1642260

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Language：Japanese   Publisher：一般社団法人情報処理学会  

This paper describes a method for parallel alignment of multiple range images. Since it is difficult to align a large number of range images simultaneously, we developed a parallel method to accelerate and reduce the memory requirement of the process. Although a general simultaneous alignment algorithm searches correspondences for all pairs of all range images, by rejecting redundant dependencies, our method makes it possible to accelerate computation time and reduce the amount of memory used on each node. The correspondence search is performed independently for each pair of range images. A...

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This paper describes a method for parallel alignment of multiple range images. Since it is difficult to align a large number of range images simultaneously, we developed a parallel method to accelerate and reduce the memory requirement of the process. Although a general simultaneous alignment algorithm searches correspondences for all pairs of all range images, by rejecting redundant dependencies, our method makes it possible to accelerate computation time and reduce the amount of memory used on each node. The correspondence search is performed independently for each pair of range images. Accordingly, the computations between the pairs are preformed in parallel on multiple processors. All relations between range images are described as a pair node hyper-graph. Then, an optimal pair assignment is computed by partitioning the graph properly. The method was tested on a 16 processor PC cluster, where it demonstrated the high extendibility and the performance improvement in time and memory.

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

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In this paper, we present a novel method to estimate several natural quadric (sphere, cylinder, and cone) and plane surface parameters from a range image. First, model surface parameters are estimated using Hough transform technique. Based on these estimated parameters, more reliable parameters are calculated using the EM algorithm. We implemented this method and applied to actual range data.

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DOI： 10.1109/3DIM.2005.41

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DOI： 10.1109/IROS.2005.1545395

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The interaction of robots is the reaction to their outer world according to the outer signals made by humans or environments. In particular, the humanoids which do the cooperative tasks with humans have to be considered how smoothly and naturally communicate with humans. This is achieved by the technologies of the natural motion synthesis or understanding of outer signals. In this paper, we introduce our project which aims to develop the methods to import human motion into humanoids, in particular, human dance motion. Through our research, we concentrated that how to express the 'naturality' of human and synchronization method to the important signals of dances: music signals.

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Other Link： http://id.nii.ac.jp/1001/00052434/

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To realistically model indoor scene is crucial and challenging problem. Indoor scene has a large number of three-dimensional range data and spatial restriction in two-dimensional photographing, as well as inevitable specularities in certain parts. In this paper we intend to deal with such a problem. Principally, our method use three-dimensional (3D) geometrical data and ordinary two-dimensional (2D) color images. The 3D geometrical data is created using parallel alignment and merging of a large number of range data. We texture the 3D data with 2D color images using simultaneous registering technique. Then, we estimate the reflection parameters of the diffuse and specular reflection components from a single image where specularities occur. Finally, using all acquired and estimated data, we can generate synthetic images of real objects realistically.

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DOI： 10.1109/AFGR.2004.1301641

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

We have developed a system for humanoid robots to imitate whole body motions performed by a human. Our target motions are traditional folk dances. Human motions can be acquired by a motion capturing system. However, those motion data cannot be imported directly into a robot which have body properties different from that of humans. In order to realize the motion which satisfies the essence of the original dance motion under the robot constraints, we propose a motion recognition and generation method using symbolic motion descriptions. This method have realized an actual performance of "Tsugaru Jongara-Bushi", which is one of the Japanese traditional folk dances, on the humanoid robot "HRP-1S".

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper we propose a new method for estimating a position and color of a light source, as well as reflectance properties of a real object's surface, from a single image. We use the intensity of the diffuse and specular component for estimating the light source position, while the color distribution of the specular region is for estimating the light source color. The flow of this method is basically as follows: first, an initial position of the light source is estimated from a peak location of the specular region and a rough intensity value of the diffuse region. This diffuse-to-specular intensity value is also used to determine the initial values of the object reflectance properties. After having the initial values, using iterative fitting method, the light position and reflectance properties are estimated simultaneously. Finally, the estimation process of the light source color is based on the color distribution of the specular region. By knowing the light source position, color and the object reflectance properties, we can freely generate synthetic images under arbitrary light source conditions.

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Other Link： http://id.nii.ac.jp/1001/00018076/

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper presents, the method to analyze human motion for the purpose of digital archive of intangible cultural heritages, such as folk dances. In the recent studies, the whole motion sequence is segmented and directly use for computer animation or motion analysis. We proposes the idea that the human dance motion consists of 'Basic Motion' and 'Motion Styles'. The Basic Motion is common motion for any dancers, and Motion Styles represents the uniqueness of the individual dancers. In the experiment, we confirmed proposed method works effectively through different motion data of male and femail dancers.

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Other Link： http://id.nii.ac.jp/1001/00052645/

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper describes a parallel alignment method of multiple range images. It is difficult to align a large number of range images simultaneously. Therefore, we developed the parallel method to improve the time performance ana memory performance. The method was tested on 16 processor PC cluster and shown the high extendibility and the performance improvement in time and memory.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we consider the geometric and photometric modeling of large-scale and intricately shaped objects, such as cultural heritage objects. When modeling such objects, new issues occurred during the modeling steps which had not been considered in the previous research conducted on the modeling of small, indoor objects. First, when modeling a large-scale and intricately shaped object, a huge amount of data is required to model the object. We would like to propose two approaches to handling this amount of data. We propose a novel method for searching the nearest neighbor by extending the search algorithm using a k-d tree. We constructed a merged model in adaptive resolution according to the geometric and photometric attributes of range images for efficient use of computational resources. Second, we reconstructed a 3D model with an appearance which successfully discarded outliers due to specular reflection, by taking a consensus of the appearance changes of the target object from multiple range images. The photometric attribute of the model can be used for aligning with 2D color images. The third issue is complementing unobservable surfaces of an object. We propose a novel method to complement such holes or gaps in the surfaces, areas which are not observed by any scans. In this novel method, the surface of an object is scanned using various kinds of sensors. We efficiently complement them by taking a consensus of the signed distances of neighbor voxels.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This study attempts to realize a humanoid robot which can imitate human dances. Human motion can be acquired by a motion capturing system. However, the captured data cannot be directly imported to a robot because of difference of body structure between a human and the robot. Since leg motion must consider balance keeping, constraints of it is too restricted to apply the captured data. This paper proposes a method to recognize human motion and generate robot motion from the recognition result. Primitive motions which is required to express leg motion in dances are defined. A sequence of primitives is extracted from captured motion data. Leg motion of a robot is generated from the primitive sequence to satisfy the leg constraints and the dynamic balance. Generated motion is tested on OpenHRP dynamics simulator. We certified validity of this method.

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Other Link： http://id.nii.ac.jp/1001/00052644/

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DOI： 10.1117/12.473086

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper shows the introduction and survey of the Cooperative Distributed Vision (CDV) systems that consist of many image processor and cameras connected through a computer network. Nowadays, some systems that is based on the idea of CDV systems have been proposed. We evaluate the difference between each systems according to their image processing hierarchy, communication procedure, control rules, their independency and resulting features. These survey is expected for the designing new CDV based image recognition systems.

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Other Link： http://id.nii.ac.jp/1001/00018093/

Language：Japanese   Publisher：Forum on Information Technology  

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Language：Japanese   Publisher：日本工業出版  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper shows the multiple targets watching method in wide-area spatial environment using the Distributed Vision Systems (DVS). DVS is constructed with some "watching stations" that consist of a camera and an image processor and a computer network connects them. This system's goal is to track multiple persons in a wide-area that cannot be watched by one visual sensor. We introduce three algorithms to realize this system, realtime human tracking method, the task decision algorithms of watching stations and the object-matching method between stations. Finally, we describe experimental results that show the validity of our approach.

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Other Link： http://id.nii.ac.jp/1001/00052749/

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper proposes the "Distributed Camera System" that can detect human position in a wide area. This system is constructed of many "camera agents" and achieves a task due to cooperation. Camera agents consist of a camera and an image processor and a computer network connects them. They are placed in a real environment and their viewing areas are either overlapping or separated. Each camera agent makes plans using an environmental map and the viewing information of the agent. Using these plans, the system can continuously track a person across all the viewing areas of camera agents. In addition, this system is robust wiht respect to agent's failure. We tested this system in two aspects : the detected trajectories adn the system's robustness. In this paper, we present the results of these evaluations, confirming the efficiency of our system.

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Other Link： http://id.nii.ac.jp/1001/00012173/

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

This paper describes a real-time human tracking method using ellipsoid model. Several images that simulate real image are generated by using a camera parameter and environmental information. These images are compared with an input image and human positions are determined by those similarities. A human is simply represented by a ellipsoid to achieve a real-time operation on a standard personal computer. To integrate some tracking systems using this method can be achieved easily because human positions are measured and managed on a world coordinates. In accuracy evaluations for a standing human, the average errors were within about 0.2 meter except the case that both head and foot were occluded. In the tracking experiment for 2 humans, the algorithm was able to work successfully. However, tracking sometimes failed because of shadows or reflections. We will consider the integration of several systems.

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Other Link： http://id.nii.ac.jp/1001/00012503/

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Language：English   Presentation type：Oral presentation (invited, special)  

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Language：English   Presentation type：Oral presentation (invited, special)  

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Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

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Language：English   Presentation type：Oral presentation (general)  

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