Research On Recognition Of Vehicles With Complicated Background Noise

With the rapid development of science and technology, Computer technology, electronics, information, communications and automation is widely applied to various fields, in which also include the road traffic management. In order to solve the problems in the road traffic management, Countries around the world are eyeing the various transport systems in research and development. Application of these transportation systems able to remove the Bottleneck of toll station, better ease traffic congestion and queuing phenomenon of the toll station, reconnaissance illegal vehicles and deal with traffic accidents. At present, some mature systems had been used, but these are some limitations in these systems, and some systems are semi-automatic. In brief, in such a large research background, the work which we need to do are also very much.The research is to recognize vehicles from photographs shooting in the toll station. There are complex background noises in the photographs used to recognize vehicles. But, these complex background noises can't be wiped off used some simple methods such as the background cancellation. So, the goal to recognize vehicle can't achieve. In the earlier period of the research, we followed the steps of extraction contour, searching character of the contour to achieve vehicle recognition. Many kinds of method had been used in the research of the extraction contour. We compared with each method in this research. Finally, contour principle in geography was applied in the image processing to get the contours of vehicle. It is shown that: the principle of Contour used to get the contours of vehicle would gain more perfectly effect. The limitation to get the contours of vehicle in the single background was solved by author. Based on different slope and angle information on different contours of vehicles, the arithmetic was brought forward into fitting beeline with difference of slope, which would provide usable and credible information to the later distinguishing of the vehicle contours.The contour of vehicle is an important characteristic of vehicle recognition. The length and width of vehicle also is paid attention, and the center of two tires'and the distance of the two centers became an important parameter of the vehicle recognition. Through experiment and comparison of many kinds of method, the idea to wipe off complex background noise was given up. Firstly, the principle of Contour was used to position the templates of vehicles in this article. The edge detector of Canny operator was used to detect the edge of object vehicle and standard vehicle, and the method of label was used to get the templates of vehicles. Finally, the templates were used to match the object vehicle based on the arithmetic of template matching. It is shown that: this method would attain the intention of recognition of vehicles, and would gain more perfectly precision.