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Development of Vision-Based Monitering System Technology for Traffic  

Hong, Gwang-Soo (선문대학교 컴퓨터공학과)
Eom, Tae-Jung (선문대학교 컴퓨터공학과)
Kim, Byung-Gyu (선문대학교 컴퓨터공학과)
Publication Information
Convergence Security Journal / v.11, no.4, 2011 , pp. 59-66 More about this Journal
Abstract
Recently, it is very important to establish and predict a traffic policy for expanding social infra structure like road, because the number of cars is significantly increasing. In this paper, we propose and develop an automated system technology based on vision sensor (CCTV) which can provide an efficient information for the traffic policy establishment and expanding the social infra structure. First, the CCTV image is captured as an input of the developed system. With this image, we propose a scheme for extracting vehicles on the road and classifying small-type, large-type vehicles based on color, motion, and geometric features. Also, we develop a DB (database) system for supplying a whole information of traffic for a specified period. Based on the proposed system, we verify 90.1% of recognition ratio in real-time traffic monitering environment.
Keywords
traffic analysis; vision sensor; vehicle extraction; vision-based monitering system;
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