Research Of Intelligent Transportation Monitoring System Based On Computer Vision

Intelligent Transportation Monitoring System is the trend of traffic development in the future, so researching key technologies in the area is of significance. Vision-based traffic surveillance is one of the main applications of computer vision techniques in Intelligent Transportation Monitoring System. More intuitionistic and convenient analysis means of traffic system can be obtained by means of computer vision. Vision is the main source of information in traffic scenes. It is nature of choosing computer vision to process and understand this kind of information. It is of realistic significance to relax traffic congestion, improve passing efficiency of road, decrease traffic accidents, and strengthen traffic safety.In this paper, key techniques such as image processing, pattern recognizing and artificial intelligence for Intelligent Transportation Monitoring System were discussed from three levels: low level vision, middle vision and high vision. Main work in low level vision include researching methods of vehicle detecting and segmentation, as well as techniques of image pretreatment, background updating and shadow removal. In middle level, techniques of vehicle tracking were treated in detail, and Parameters of traffic flow were calculated too. Methods of pedestrian recognition were discussed and alarm of peccancy in traffic was detected in high level.Main work is focused on extracting visual information—low level vision and middle level vision in this paper. It is the most essential and difficult problem in vision technique. And it is also the basis of the following process and the guarantee of correctly understanding traffic behavior.