Traffic monitoring and event analysis based on 3D video process

Decreasing traffic accidents and events are one of the most significant responsibilities for most of the government in the world. Nevertheless, it is hard to precisely predict the traffic condition. In order to understand the real cause of traffic accidents and restore the occurrence of traffic events, a traffic monitor and event analysis mechanism based on 3D video processing techniques is proposed. In which, there are three modules named as information collection, 3D process, and expert system. The traffic information are recorded and collected through the deployment of a lot of video monitors around each intersection of those heavy traffic areas along quad directional. Therefore, each vehicle is monitored by many detectors. All of the collected information is transferred to the 3D process for constructing the 3D model based on the options such as vehicles, directions, time factor, and etc. Those significant features for traffic analyzing are also extracted and retrieved in this module. Finally, the expert module is responsible for integrated traffic information and event analysis and offering decision making such as the application of early warning or enforcement. Experimental results demonstrate the feasibility and validity of our proposed mechanism. It can be applied as a traffic management system.