Presentation | 2007-02-22 Online Action Recognition with Structured Boosting Yu NEJIGANE, Masamichi SHIMOSAKA, Taketoshi MORI, Tomomasa SATO, |
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Abstract(in English) | In this paper, we propose a robust online action recognition method based on boosted sequential classification. Our method utilizes boosting algorithm that is one of ensemble learning algorithms. This algorithm is also known as a feautre selector and has been utilized in the fields of image processing and natural language processing in recent years. Our method automatically and efficiently selects significant features for action recognition. Additionally, the method assumes interdependency between action labels based on Markov random fields. We evaluated our method to action recognition, such as walking and running, using motion capture data only with posture features. In the result, our method classified the actions more robustly than other methods that do not utilize interdependency between action labels. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Boosting / LogitBoost / Online Action Recognition / Motion Capture / Markov Random Fields |
Paper # | PRMU2006-216,HIP2006-109 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2007/2/15(1days) |
Place (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) | Online Action Recognition with Structured Boosting |
Sub Title (in English) | |
Keyword(1) | Boosting |
Keyword(2) | LogitBoost |
Keyword(3) | Online Action Recognition |
Keyword(4) | Motion Capture |
Keyword(5) | Markov Random Fields |
1st Author's Name | Yu NEJIGANE |
1st Author's Affiliation | Graduate School of Information Science and Engineering, the University of Tokyo() |
2nd Author's Name | Masamichi SHIMOSAKA |
2nd Author's Affiliation | Graduate School of Information Science and Engineering, the University of Tokyo |
3rd Author's Name | Taketoshi MORI |
3rd Author's Affiliation | Graduate School of Information Science and Engineering, the University of Tokyo |
4th Author's Name | Tomomasa SATO |
4th Author's Affiliation | Graduate School of Information Science and Engineering, the University of Tokyo |
Date | 2007-02-22 |
Paper # | PRMU2006-216,HIP2006-109 |
Volume (vol) | vol.106 |
Number (no) | 538 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |