Faculty Profiles - Nakazawa Atsushi

MISC - Nakazawa Atsushi

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Imitating human dance motions through motion structure analysis Reviewed

A Nakazawa, S Nakaoka, K Ikeuchi, K Yokoi

2002 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-3, PROCEEDINGS 3 2539 - 2544 2002

Language：English Publisher：IEEE

This paper presents the method for importing human dance motion into humanoid robots through visual observation. The human motion data is acquired from a motion capture system consisting of 8 cameras and 8 PC clsters. Then the whole motion sequence is divided into some motion elements and clusterd into some groups according to the correlation of end-effectors' trajectories. We call these segments as 'motion primitives'. New dance motions are generated by concatenating these motion primitives. We are also trying to make a humanoid dance these original or generated motions using inverse-kinematics and dynamic balancing technique.

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Iterative Refinement of Range-Measurement Accuracy by Considering the Direction of Error of Range Images.

大石岳史, 佐川立昌, 中沢篤志, 倉爪亮, 池内克史

情報処理学会シンポジウム論文集 2002 ( 11,Pt.2 ) 2002

Digital Archive of the Human Motion

2001 25 - 32 2001.12

分散視覚エージェントを用いた複数人物追跡システム

中澤篤志

情報処理学会論文誌 42 ( 11 ) 2699 - 2710 2001

Human Positioning System Using Distributed Camera Agents

NAKAZAWA Atsushi, KATO Hirokazu, INOKUCHI Seiji

Transactions of Information Processing Society of Japan 41 ( 10 ) 2895 - 2906 2000.10

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/

分散観測エージェントによる複数人物の追跡

中澤篤志

画像の認識理解シンポジウム(MIRU2000)予稿集 15 - 20 2000

Realtime Human Tracking Using Ellipsoid Model

KATO Hirokazu, NAKAZAWA Atsushi, INOKUCHI Seiji

Transactions of Information Processing Society of Japan 40 ( 11 ) 4087 - 4096 1999.11

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/

分散カメラシステムによる人物の追跡

中澤篤志

画像の認識理解シンポジウム (MIRU'98) 1 1 - 6 1998

Image Fusion System for Object Tracking

KATO Hirokazu, NAKAZAWA Atsushi, INOKUCHI Seiji

13 125 - 128 1996.10

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