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Vehicle tracking based on particle filter using double features
Lin MX(林明秀); Pan, Feng; Wang JJ(王静静); Chen S(陈帅)
作者部门自动化系统研究室
会议名称2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
会议日期December 19-20, 2009
会议地点Wuhan, China
会议主办者Wuhan University; Huazhong Normal University; Wuhan University of Technology; National Technology University of Ukraine; Columbia University
会议录名称Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
出版者IEEE Computer Society
出版地Piscataway, NJ, USA
2009
页码1-4
收录类别EI
EI收录号20101212791889
产权排序2
ISBN号978-1-4244-4994-1
关键词Video Traffic Surveillance Particle Filter Vehicle Tracking Feature Fusion
摘要Video traffic surveillance is of high interest in the field of Intelligent Transportation Systems and the moving vehicle tracking is an essential technique. Particle filter approximate the optimal Bayesian solution for vehicle tracking as a nonlinear or non-Gaussian system. In this paper a vehicle tracking method based on PF is presented, which combines gray and contour feature particles using fusion algorithm to balance the weights according to the present scene. It is adaptable to the scene because it utilizes the advantage of the proper feature for the present scene. The experiments demonstrate that the proposed method improves the vehicle tracking accuracy and robustness under cluttered scene.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19969
专题自动化系统研究室
通讯作者Lin MX(林明秀)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
3.Graduate School of Chinese Academy of Science, Beijing, China
推荐引用方式
GB/T 7714
Lin MX,Pan, Feng,Wang JJ,et al. Vehicle tracking based on particle filter using double features[C]//Wuhan University; Huazhong Normal University; Wuhan University of Technology; National Technology University of Ukraine; Columbia University. Piscataway, NJ, USA:IEEE Computer Society,2009:1-4.
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