HUMAN ACTIVITY RECOGNITION INDEPENDENT OF OBSERVATION ORIENTATION(International Workshop on Advanced Image Technology 2007)
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概要
- 論文の詳細を見る
Automatic recognition of human motions or activities employing a camera and computer system has been one of the main topics in computer vision. In this paper, we propose a method of recognizing human activities/motions employing multiple cameras that surround a human in motion. For the recognition, we employ XOR-images and an eigenspace method. A motion/activity obtained from a camera is expressed by a point. Therefore, M motions obtained from P cameras are described by M×P points in the eigenspace. Comparison of the proposed technique with other techniques is done. Experimental results of applying our approach to six motions with four observation cameras in the real world are given to demonstrate the effectiveness of the proposed technique.
- 社団法人電子情報通信学会の論文
- 2007-01-03
著者
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ISHIKAWA Seiji
Department of Physical Chemistry, 21st Century COE Program, Kyoto Pharmaceutical University
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Tan Joo
Department Of Mechanical And Control Engineering Kyushu Institute Of Technology
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Tan Joo
Department Of Mechanical & Control Engineering Kyushu Institute Of Technology
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Ishikawa Seiji
Department Of Anesthesiology And Critical Care Medicine School Of Medicine Tokyo Medical And Dental
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Ishikawa Seiji
Department Of Mechanical And Control Engineering Kyushu Institute Of Technology
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Kouno Kensuke
Department of Mechanical and Control Engineering Kyushu Institute of Technology
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