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《Journal of the China Railway Society》 2016-12
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Research on Pedestrian Tracking Method Based on Joint Multi-feature Histogram and Mean Shift

WANG Aili;DONG Baotian;SUN Yuanyun;WU Wei;Department of information Engineering,China Railway Information Technology Center;School of Traffic and Transportation,Beijing Jiaotong University;  
In view of the poor performance of traditional tracking algorithm caused by single color feature and target occlusion,a new pedestrian tracking method based on the joint multi-features histogram and mean shift was proposed.The color and edge features of a target were described by the histogram model,while the kernel function of the color and edge feature was modified by motion information to reduce the influence of target distortion,background interference and partial occlusion on the algorithm.The information of the multi-feature histogram was fused to establish the target model and candidate target model,which was embedded into the Mean Shift tracking framework to achieve pedestrian tracking.Finally,the four-step search strategy which can relocate the missing target according to the surrounding environment and motion information was put forward to overcome the target loss problem caused by blocking.Experimental results indicated that the proposed method can accurately track target in real-time.The detected traffic information such as velocity and acceleration matched the actual information.
【Fund】: 中国铁路总公司科技研究开发计划(2014X009-A);; 国家高技术研究发展计划(863计划)(2009AA11Z207);; 高等学校博士学科点专项科研基金(20110009110011)
【CateGory Index】: TP391.41;U298.2
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