Traffic Video Based Cross Road Violation Detection
Jun Zhang, Tao Gao, Zhengguang Liu · 2009
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.