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《Journal of Shanghai University of Electric Power》 2011-01
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Sliding Window Classifying Framework in Pedestrian Detection on Images

PENG Yuan1,YANG Na2,WU Jian-guo1,TIAN Xiu-xia1 (1.School of Computer and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China;2.Henan Business College,Zhengzhou 450044,China)  
Binary classifier based on sliding window is a widely used approach towards pedestrian detection.It can detect one or several pedestrians with different pose in one image.The main ways to implement pedestrian detection are summarized,and the main approaches in the sliding window framework are analyzed and compared.Further research focuses are forecasted.
【CateGory Index】: TP391.41
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