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 |
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Conference Date | 1999/12/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | 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 |
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