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Vision Based Vehicle Detection and Traffic Parameter Extraction  

하동문 (아주대학교 컴퓨터네트워크 연구실)
이종민 (아주대학교 교통연구소)
김용득 (아주대학교 전자공학부)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.30, no.11, 2003 , pp. 610-620 More about this Journal
Abstract
Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 96%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.
Keywords
Vehicle Detection; Shadow Rejection; Traffic Parameter Extraction; Traffic Monitoring; Computer Vision; ITS(Intelligent Transport System);
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