Traffic Video based Cross Road Violation Detection

被引:4
|
作者
Zhang, Jun [1 ]
Gao, Tao [1 ]
Liu, Zheng-guang [1 ]
机构
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
关键词
intelligent traffic system; cross road violation; mixture Gaussian model; Hough transformation; mean-shift;
D O I
10.1109/ICMTMA.2009.220
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the requirement of monitoring cross road violation in intelligent traffic system, a method to recognize and track the peccant vehicle is presented. The static background is modeled by mixture Gaussian model, and the location of lane tine is detected by Hough transformation, thus, the coordinated series can be obtained from the monitor image. The information of vehicles can be obtained by background-frame difference method, and according to the distance between the vehicle and line, the peccant vehicle can be detected. A mean-shift method is used to track the peccant vehicle, and the close range camera is used to snapshoot the license plate according to the center of tracking window. Actual road tests show that the work efficiency of the method is high, and the accuracy is up to 80%; so it has a certain practical value.
引用
收藏
页码:645 / 648
页数:4
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