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《Chinese Journal of Sensors and Actuators》 2008-07
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Gait Silhouette Extraction Algorithm Using Gauss Model

FU Chun-yan,LI Ping,WEN Yu-mei,YUAN Hai-jun,YE Bo Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China,ChongQing University,Chongqing 400030,China  
Gait silhouette is mostly used as recognition feature in human gait recognition,so the prerequisite of correct recognition is to extract complete and closed moving human silhouette to express gait feature exactly.A gait silhouette extraction algorithm using Gauss model is proposed.Under the condition that the motion direction of object is parallel to the imaging plane of the camera and the camera is static,it is supposed that in the serial images, the distribution of the pixel's gray level at the time of background on time axis is Gaussian distribution,while the distribution at the time of object does not satisfy this distribution,then moving object silhouette is extracted using statistical inference approach.The experimental results demonstrate that the proposed algorithm can not only extract human silhouette completely and accurately,but also can remove noise and shadow and increase recognition rate.The algorithm can be directly used on RGB space or grey space,without changing color space or building the background model,it is less computative and has high real-time processing performance.
【Fund】: 重庆市自然科学基金资助项目(CSTC2006BB2155)
【CateGory Index】: TP391.41
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【Co-citations】
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【Co-references】
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