Research Of Vehicle Object Detection And Tracing Method In Traffic Video Monitoring

Intelligent Transportation System(ITS) is a real-time, accurate and efficient integrated transportation management system which creats a wide range, all-round role.It can accurately, effectively manage and monitor the entire traffic system with integrated advanced information technology, data communication transmission technology, electronic sensor technology, electronic control technology and computer processing technology.The detection and tracking of vehicle is one of the core and most critical technologys, the good or bad performance of the technology directly relates whether the entire system can run effectively, so the research of vehicle detection and tracking technology have great significance and value to ITS.First of all, the title use a kind of way called multi-level background model extraction algorithm which applies to complex traffic scenes to extract background. The algorithm is fast and accurate.Next, it use a selective background update method for vehicle detection, which has good real-time, can effectively deal with the problems that slow changes of background caused by the influence of illumination change and local background mutation.Second, for vehicle detecting, the title remove the shadows of the moving vehicles at first, then utilizing the background extracted by previous algorithm, it use the fusion of improved symmetric difference method and background of the frame-difference-phase to detect vehicle movement area, and to make each of moving target become an independent connected domain, then use seed filling technology based on two Scanning Method, to solve the problem of moving targets'"hole" which is caused by the gray of vehicle's surface close to the road's, and achieve more accurate results of vehicles detection.Finally, the title does vehicle tracking. This paper use template matching method to achieve vehicle tracking, the method use several parameters(such as target centroid, aspect ratio, etc) to describe the overall characteristics of the vehicle, and establish the match template of vehicles for matching vehicles in next frame, at last update the template to prepare for the next frame-match. For the problem of vehicles blocking each other in the process of match, the paper use a method base on match to break up target, and achieve better results of vehicle match.The whole algorithm need to achieve efficient operation on the DSP, the title at last introduced optimization algorithm with TMS320DM6437 embedded systems, and the optimization introduced includes compiler options optimization, less use of function calls, writing assembly code and EDMA ping-pong operation.And the title at last tests optimization results with detecting the time of algorithm performance. The last results show that algorithm have good real-time and stability.