中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Vehicle tracking based on particle filter using double features

文献类型:会议论文

作者Lin MX(林明秀); Pan, Feng; Wang JJ(王静静); Chen S(陈帅)
出版日期2009
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
关键词Video traffic surveillance particle filter vehicle tracking feature fusion
页码1-4
通讯作者林明秀
中文摘要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.
收录类别EI
产权排序2
会议主办者Wuhan University; Huazhong Normal University; Wuhan University of Technology; National Technology University of Ukraine; Columbia University
会议录Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4244-4994-1
源URL[http://ir.sia.cn/handle/173321/19969]  
专题沈阳自动化研究所_自动化系统研究室
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]. 见:2009 International Conference on Information Engineering and Computer Science, ICIECS 2009. Wuhan, China. December 19-20, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

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