The Research And Application Of The Techniques In Vehicle Speed Measurement Through Video Based On Moving Object Detection And Tracking

With the development of computer hardware and computer vision technologies, the traffic surveillance system based on the real-time image processing becomes the immediately development tendency,and the detection and tracking are the important part of the Intelligent Transport System.This article studied that used the image processing technology to carry on the real-time monitoring to the highway vehicles, used the method based on moving object detection and tracking to calculate the speed of vehicles, so provided the transportation parameter for the Intelligent Transport System.This article researched the methods of Camera Calibration,and adopted one method, and proposed we input coordinates through the detection of some point of lane edge.This article proposed we carried on the real-time detection and tracking algorithm in view of the moving vehicles, that was suitable to the big area, the multi-goals complex scene, and could remove the disturbance,and the algorithm mainly applied on the highway.This article proposed that the system made firstly the detection of driving region before vehicles detect, and the system could remove the disturbance outside the driving region through the detection of driving region. Then we had the present several kinds representative background model through the empirical datum to carry on the comparison,discovered good and bad points, after unified these methods to make the improvement, proposed a improved Gaussian mixture background model based on intensity and the gradient of intensity. This background model better soluted the problems such as model initialization, update, background disturbance, illumination, and it had fully used intensity and the gradient to distinguish the background and foreground.The background model both could satisfy the statistical property which the background changed gradually as necessary, and could remove the disturbances of noise of system and some sudden factors. The article proposed an algorithms of background difference based on three-level structure,and the algorithms guaranteed the accuracy of the detection of vehicles from three levels.In the tracking of moving object, this article used the method based on EKF, and improved the structure and update of the filter, then proposed three kinds of match principles, the article synthetized the forecast and the match, and proposed a complete track algorithm under occlusion. Finally the system could calculate the speed of the vehicles according to the result which tracks. A vehicle speed measurement system through video were designed in this article.The article analysed the problem of distance measuring and moving objects detecting and tracking, and puts forward some way to solve them and test them through experiments. The result from the experiments gave a positive answer that these methods met real-time and practicality requirements.