Traffic Video based Cross Road Violation Detection
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 line 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.
intelligent traffic system cross road violation mixture Gaassian model Hough transformation mean-shift
Jan Zhang Tao Gao Zheng-guang Liu
School of Electrical Engineering and Automation, Tianjin University Tianjin, 300072, China
国际会议
张家界
英文
645-648
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）