Study of recognizing multiple persons' complicated hand gestures from an active image sequence: increasing the number of persons and hand gesture categories (パターン認識・メディア理解)
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概要
- 論文の詳細を見る
Recognizing hand gestures from the video sequence acquired by a dynamic camera could be a useful interface for human robot communication. We propose a framework to extract and recognize hand gestures from moving camera images. We improved Human-Following Local Coordinate (HFLC) system to extract hand motion trajectories, and Condensation algorithm and PCA-based algorithm was performed to recognize extracted hand trajectories. Our experimental show the comparison between PCA based approach and Condensation algorithm on 51 kinds of sign language based Japanese and American Sign Language gestures obtained from 7 people.
- 社団法人電子情報通信学会の論文
- 2010-03-08
著者
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OHYA Jun
Graduate School of Global Information and Telecommunication and Studies, Waseda University
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Dan Luo
Graduate School Of Global Information And Telecommunication Studies Waseda University
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Ohya Jun
Graduate School Of Global Information And Telecommunication And Studies Waseda University
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Ohya Jun
Graduate School of Global Information and Telecommmication StudiesWaseda Unlversity
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