Presentation 1999/12/17
Image Sequences Filtering Using HMM
Hiroyasu KATO, Hiroshi MATSUO, Akira IWATA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is possible to divide image sequences into some states, where each state has same motion phase. By applying such operation before recognition processing, accuracy of the recognition will be improved. Then, new image sequence filtering by using HMM is proposed in paper, which can divide image sequences into multiple states. Performance of the filtering is improved by doing re-learning of the observation symbol probability. In addition, effectiveness of proposed method is shown by human identification using image sequences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) HMM / filtering / video image processing / human identification
Paper # PRMU99-186
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Conference Information
Committee PRMU
Conference Date 1999/12/17(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) Image Sequences Filtering Using HMM
Sub Title (in English)
Keyword(1) HMM
Keyword(2) filtering
Keyword(3) video image processing
Keyword(4) human identification
1st Author's Name Hiroyasu KATO
1st Author's Affiliation Dept. of Electrical and Computer Eng., Nagoya Institute of Technology()
2nd Author's Name Hiroshi MATSUO
2nd Author's Affiliation Dept. of Electrical and Computer Eng., Nagoya Institute of Technology
3rd Author's Name Akira IWATA
3rd Author's Affiliation Dept. of Electrical and Computer Eng., Nagoya Institute of Technology
Date 1999/12/17
Paper # PRMU99-186
Volume (vol) vol.99
Number (no) 515
Page pp.pp.-
#Pages 8
Date of Issue