| Presentation | 2005-10-28 Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features Akinori HIDAKA, Kenji NISHIDA, Takio KURITA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Face tracking continues to be an important topic in computer vision. We describe a tracking algorithm based on a static face detector. We use rectangle feature and boosting algorithm to calculate the face score of an input image. In our method, face tracking is performed by tracking the local region where the face score is maximum. We propose and evaluate the tracking algorithm that the combination of jumping to the gradient direction and precise search at the local region. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | face tracking / rectangle feature / boosting |
| Paper # | PRMU2005-102 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2005/10/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features |
| Sub Title (in English) | |
| Keyword(1) | face tracking |
| Keyword(2) | rectangle feature |
| Keyword(3) | boosting |
| 1st Author's Name | Akinori HIDAKA |
| 1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
| 2nd Author's Name | Kenji NISHIDA |
| 2nd Author's Affiliation | Neuroscience Research Institute, AIST |
| 3rd Author's Name | Takio KURITA |
| 3rd Author's Affiliation | Neuroscience Research Institute, AIST |
| Date | 2005-10-28 |
| Paper # | PRMU2005-102 |
| Volume (vol) | vol.105 |
| Number (no) | 375 |
| Page | pp.pp.- |
| #Pages | 6 |
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