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《Journal of Data Acquisition and Processing》 2011-01
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Face Tracking Based on Feature Combination

Xia Siyu,Pan Hong,Jin Lizuo,Xia Liangzheng(School of Automation,Southeast University,Nanjing,210096,China)  
Aimed at the problem of tracking human face on complex background in color image sequences,this paper presents a robust method based on feature combination.The method uses skin color feature and motion feature to represent human face in color image sequences.Then,a set of likelihood ratio is generated for each pixel.the pixel indicates the confidence of its belonging to object or background.They are combined according to the classification performance.A particle filter algorithm is used to track the human face.The combination features are used to compute weights of particles and increase the stability on the varying lighting and complex backgrounds.An effective skin color detection algorithm is presented for varying lighting environment,and a dynamical model is used in particle filter tracking algorithm for robust face tracking.Experimental results show that the method is robust and effective compared with tracking algorithm with only one feature.The method is very hopeful for tracking free movement of the human face on complex backgrounds.
【Fund】: 国家自然科学基金(60805002 90820009)资助项目;; 航空科学基金(20081069003)资助项目
【CateGory Index】: TP391.41
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