Processing Of Expressway Real-time Speed Detection Algorithm Based On Video

Traffic information surveillance algorithm based on video processing is becoming more and more important because of its convenient, timeliness. Vehicle speed detection is very important part in the traffic information surveillance system. The paper makes the running speed of vehicles as the studying and detection object. The purpose of this subject is to provide more efficient references to increase the technology level of traffic management.In this paper, the vehicle detection is based on the roadway. With Hough transform, the slopes of linear lane boundaries at the bottom of images are estimated, and the vanish point of these lane boundaries are also distilled. Given these parameters, the camera calibration is performed to remove the perspective effect of the incoming images. And then, the speed of vehicles can be calculated based on their positions of the image plane from the vehicle tracker which realizes segmenting and real-time tracking of moving targets using background subtraction method and the Kalman filters. The experimental results demonstrate our algorithm, with great facility in camera calibration.Using this algorithm is introduced in this paper, in the shanghai-nanjing expressway management system and application is robust and can be efficiently utilized in the vehicle speed estimation.