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《Journal of Yunnan University of Nationalities(Natural Sciences Edition)》 2014-03
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Fast face detection based on the AdaBoost algorithm

LU Wei-chun;PEI Zheng;HE Xiao-ping;LI Hong-min;ZHOU Wei-hong;School of Mathematics and Computer Science,Yunnan University of Nationalities;Sias International College,Zhengzhou University;  
This paper presents the theory of the AdaBoost algorithm,and analyzes the causes for the decrease of its accuracy. By using Gaussian Mixture Model( GMM) to simulate the skin color model,separating the region of the possible human face from the whole image and scanning this region by using the AdaBoost algorithm,the experimental results show that this approach can improve the detection speed and accuracy of the system.
【Fund】: 国家民委科研项目(12YNZ008);; 云南省教育厅科学研究基金(2012Y315);; 云南民族大学青年基金(11QN08)
【CateGory Index】: TP391.41
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