Presentation | 2008-12-18 Human Activity Recognition Based on Camera Selection by Boosting Kouji SHUTOU, Seiichi UCHIDA, Ken'ichi MOROOKA, Ryo KURAZUME, Kenji HARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A gesture recognition method for multi-camera surveillance is proposed. The proposed method possesses the following three characteristics desirable for practical surveillans. First, the final recognition result is provided by integrating recognition results from individual cameras complementary. Second, camera calibration is not necessary. Third, various sensors other than cameras can be incorporated. The complementary integration is systematically done by an AdaBoost-based training. In addition, we use the local feature which is less discriminative to the important difference among the gestures. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multi-camera / gesture recognition / AdaBoost / local feature |
Paper # | PRMU2008-157 |
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Committee | PRMU |
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Conference Date | 2008/12/11(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) | Human Activity Recognition Based on Camera Selection by Boosting |
Sub Title (in English) | |
Keyword(1) | multi-camera |
Keyword(2) | gesture recognition |
Keyword(3) | AdaBoost |
Keyword(4) | local feature |
1st Author's Name | Kouji SHUTOU |
1st Author's Affiliation | Kyushu University() |
2nd Author's Name | Seiichi UCHIDA |
2nd Author's Affiliation | Kyushu University |
3rd Author's Name | Ken'ichi MOROOKA |
3rd Author's Affiliation | Kyushu University |
4th Author's Name | Ryo KURAZUME |
4th Author's Affiliation | Kyushu University |
5th Author's Name | Kenji HARA |
5th Author's Affiliation | Kyushu University |
Date | 2008-12-18 |
Paper # | PRMU2008-157 |
Volume (vol) | vol.108 |
Number (no) | 363 |
Page | pp.pp.- |
#Pages | 6 |
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