Tracking people through partial occlusions
LU Jian-guo;CAI An-ni
【期刊名称】《中国邮电高校学报（英文版）》 【年(卷),期】2009(016)002
【摘要】This article presents a novel people-tracking approach to cope with partial occlusions caused by scene objects. Instead of predicting when and where the occlusions will occur, a part-based model is used to model the pixel distribution of the target body under occlusion. The subdivided patches corresponding to a template image will be tracked independently using Markov chain Monte Carlo (MCMC) method. A set of voting-based rules is established for the patch-tracking result to verify if the target is indeed located at the estimated position. Experiments show the effectiveness of the proposed method. 【总页数】5页(117-121) 【关键词】
【作者】LU Jian-guo;CAI An-ni
【作者单位】School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 【正文语种】中文 【中图分类】TN91
Tracking people through partial occlusions
