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	复杂背景下车辆跟踪的改进算法及逆行检测; The Improved Algorithm for Vehicle Tracking and Retrograde Motion Detection under the Complicated Background
	郭锋 ; 王秉政 ; 杨晨晖
	2013-07-15
关键词	车辆跟踪 多特征匹配 复杂背景 vehicle tracking multiple feature matching complex background
英文摘要	针对复杂背景下车辆跟踪准确率低的情况,提出了一种改进的算法,采用多边形车辆跟踪窗口和更准确的预测搜索区域,进行多特征匹配车辆的跟踪算法,并应用于道路的车辆逆行检测。实验结果表明,该算法在满足实时性和稳定性的前提下,提高了车辆跟踪的准确率。; To solve the problem of low vehicle tracking accuracy of traditional algorithms in complex background,an improved method is proposed in this paper.It exploits vehicle tracking polygon window and more exact prediction of search area to realize multiple feature matching vehicle tracking,which is applied to detect vehicles retrograde motion.The experimental results show that the algorithm has higher vehicle tracking accuracy while satisfying the need of real-time and stability requirement than traditional ones.
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/122992]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	郭锋,王秉政,杨晨晖. 复杂背景下车辆跟踪的改进算法及逆行检测, The Improved Algorithm for Vehicle Tracking and Retrograde Motion Detection under the Complicated Background[J],2013.
APA	郭锋,王秉政,&杨晨晖.(2013).复杂背景下车辆跟踪的改进算法及逆行检测..
MLA	郭锋,et al."复杂背景下车辆跟踪的改进算法及逆行检测".(2013).

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