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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。