Face detection in video based on AdaBoost algorithm and skin model |
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| Authors: | Cui-huan DU Hong ZHU Li-ming LUO Jie LIU Xiang-yang HUANG |
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| Affiliation: | 1. Department of Computer Application, Capital Normal University, Beijing 100048, China;2. College of Information Engineering, Capital Normal University, Beijing 100048, China |
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| Abstract: | A real-time method is proposed to detect faces in videos. First it uses frame difference method to extract the motion area. Next the clustering character of skin is used to get the general face area. AdaBoost algorithm is applied to make concrete detection of human face. Finally an improved CamShift algorithm method is used to keep the tracking and improving algorithm speed. The experiments demonstrate the robustness and high speed of the proposed algorithm. |
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| Keywords: | detecting skin model Adaboost algorithm CamShift algorithm face tracking |
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