| Presentation | 2009/1/5 FACE DETECTION USING SKIN-COLOR MODEL AND SUPPORT VECTOR MACHINE(International Workshop on Advanced Image Technology 2009) Yoko Seki, Ichiro Yuyama, Hiroshi Hasegawa, Yu Watanabe, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a face detection technique for still pictures which sequentially uses a skin-color model and a support vector machine(SVM). SVM is a learning algorithm for solving the classification problem. Some studies on face detection have reported superior results of SVM over neural networks. The SVM method searches for a face in a picture while changing the size of the window. The detection accuracy and the processing time of SVM vary largely depending on the complexity of the background of the picture or the size of the face. Therefore, we apply a face candidate area detection method using a skin-color model as a preprocessing technique. We compared the method using SVM alone with that of the proposed method in respect to face detection accuracy and processing time. As a result, the proposed method showed improved processing time while maintaining a high recognition rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | face detection / skin-color model / support vector machine |
| Paper # | IE2008-171 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2009/1/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | FACE DETECTION USING SKIN-COLOR MODEL AND SUPPORT VECTOR MACHINE(International Workshop on Advanced Image Technology 2009) |
| Sub Title (in English) | |
| Keyword(1) | face detection |
| Keyword(2) | skin-color model |
| Keyword(3) | support vector machine |
| 1st Author's Name | Yoko Seki |
| 1st Author's Affiliation | Department of Information Systems Science Graduate School of Engineering, Utsunomiya University() |
| 2nd Author's Name | Ichiro Yuyama |
| 2nd Author's Affiliation | Department of Information Systems Science Graduate School of Engineering, Utsunomiya University |
| 3rd Author's Name | Hiroshi Hasegawa |
| 3rd Author's Affiliation | Department of Information Systems Science Graduate School of Engineering, Utsunomiya University |
| 4th Author's Name | Yu Watanabe |
| 4th Author's Affiliation | Department of Information Systems Science Graduate School of Engineering, Utsunomiya University |
| Date | 2009/1/5 |
| Paper # | IE2008-171 |
| Volume (vol) | vol.108 |
| Number (no) | 373 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |