Presentation 2001/1/11
Recognition of mixture motions using Hidden Markov Model
Masaki Takahashi, Nobuhiko Ogura, Sumio Watanabe,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee PRMU
Conference Date 2001/1/11(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
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 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
Date of Issue