Presentation | 2008-01-17 Attention Propagation for Object Detection Seihiro Sakahira, Toshikazu Wada, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Visual object detection is one of the most basic technology for object tracking and recognition. Existing methods performes detection for independent image frames. In the case of human vision system, however, exploits the previous detection results, i.e., detection will not be performed within the regions where no object has been detected in the previous image frame, and will be performed within other regions. This report proposes a detection framework that exploits previous detection results by propagating the potential values representing how much shall the detection pay attention. The algorithm for maintaining this potential values and for detecting the objects by referring the potential values are proposed and examined through the face detection experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | AdaBoost / Cascade classifiers / Haar features |
Paper # | PRMU2007-173 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2008/1/10(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) | Attention Propagation for Object Detection |
Sub Title (in English) | |
Keyword(1) | AdaBoost |
Keyword(2) | Cascade classifiers |
Keyword(3) | Haar features |
1st Author's Name | Seihiro Sakahira |
1st Author's Affiliation | Graduate School of Systems Engineering, Wakayama University() |
2nd Author's Name | Toshikazu Wada |
2nd Author's Affiliation | Graduate School of Systems Engineering, Wakayama University |
Date | 2008-01-17 |
Paper # | PRMU2007-173 |
Volume (vol) | vol.107 |
Number (no) | 427 |
Page | pp.pp.- |
#Pages | 6 |
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