Presentation 2000/10/13
Recognition of Human Motion Behaviors using View-based Aspect Model based on Motion Change
Takuichi Nishimura, Takushi Sogo, Shinobu Ogi, Ryuichi Oka, Hiroshi Ishiguro,
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Abstract(in English) In order to obtain flexibility of recognition system of human motion behaviors, "Viewbased Aspect Model based on Motion Change"is proposed which realize the recognition independent of the human-direction. It contains feature vector sequences that were taken from all direction around the human. Next, our appearance-based feature extraction method is demonstrated to be useful for whole body motion recognition. A new technique, spatio-temporal continuous Dynamic Programming, allows human to rotate even when he is doing a motion behavior. The paper shows experimental results using multiple omni-directional vision sensors and evaluate our recognition system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Aspect Model / Motion Understanding / Spatio-temporal Continuous DP
Paper # PRMU2000-96
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Conference Information
Committee PRMU
Conference Date 2000/10/13(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition of Human Motion Behaviors using View-based Aspect Model based on Motion Change
Sub Title (in English)
Keyword(1) Aspect Model
Keyword(2) Motion Understanding
Keyword(3) Spatio-temporal Continuous DP
1st Author's Name Takuichi Nishimura
1st Author's Affiliation Real World Computing Partnership()
2nd Author's Name Takushi Sogo
2nd Author's Affiliation Kyoto University
3rd Author's Name Shinobu Ogi
3rd Author's Affiliation Mathmatical Systems Inc.
4th Author's Name Ryuichi Oka
4th Author's Affiliation Real World Computing Partnership
5th Author's Name Hiroshi Ishiguro
5th Author's Affiliation Wakayama University
Date 2000/10/13
Paper # PRMU2000-96
Volume (vol) vol.100
Number (no) 360
Page pp.pp.-
#Pages 8
Date of Issue