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	Accurate vehicle tracking by shadow removal in the transformed space
	Liu chang; Chen George; Ma yingdong; Ding yajun; Wu jinwu
	2011
会议名称	International Conference on Signal and Image Processing and Applications
会议地点	Chian
英文摘要	In Intelligent Transportation System (ITS), vehicle tracking is necessary to permit high-level analysis, such as vehicle counting or classification. This paper addresses automatic detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. In order to improve the tracking precision, in the vehicle detection phase, perspective transform and shadow removal are applied to reduce occlusion, which is one of the main reasons for tracking errors. In the vehicle tracking phase, mean-shift with foreground mask is used for building the correspondence between vehicles detected at different time instants. Experimental results from traffic scenes demonstrate the effectiveness and robustness of these methods.(11 refs)
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3631]
专题	深圳先进技术研究院_数字所
作者单位	2011
推荐引用方式 GB/T 7714	Liu chang,Chen George,Ma yingdong,et al. Accurate vehicle tracking by shadow removal in the transformed space[C]. 见:International Conference on Signal and Image Processing and Applications. Chian.

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