Presentation | 2001/1/11 Recognition of mixture motions using Hidden Markov Model Masaki Takahashi, Nobuhiko Ogura, Sumio Watanabe, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recognition of human movement is important in the interaction of human and computer. However, it is not so easy to recognize multiple sub-motions. In this paper, we propose a method to recognize such human movements. In our method, the movement is recognized by using Hidden Morkov Model with series of extracted flow vector angle. In experiments, 11 categories of movements, which consist of multiple sub-motions could be recognized with 80% recognition rates. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gesture recognition / Hidden Morkov Model |
Paper # | PRMU2000-151 |
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Committee | PRMU |
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Conference Date | 2001/1/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Recognition of mixture motions using Hidden Markov Model |
Sub Title (in English) | |
Keyword(1) | Gesture recognition |
Keyword(2) | Hidden Morkov Model |
1st Author's Name | Masaki Takahashi |
1st Author's Affiliation | Dept.of Advanced Applied Electronics, Tokyo Institute of Technology() |
2nd Author's Name | Nobuhiko Ogura |
2nd Author's Affiliation | P&I Lab., Tokyo Institute of Technology |
3rd Author's Name | Sumio Watanabe |
3rd Author's Affiliation | P&I Lab., Tokyo Institute of Technology |
Date | 2001/1/11 |
Paper # | PRMU2000-151 |
Volume (vol) | vol.100 |
Number (no) | 565 |
Page | pp.pp.- |
#Pages | 8 |
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