Study on the method of analyzing traffic condition based on the bus surveillance video

Traffic congestion has been the most intractable problem for most of countries´ governments. It is crucial to solve the traffic congestion that traffic departments achieve the real-time information of traffic condition and release it to the public. The front cameras of buses record the traffic conditions of the main roads of a city. The real-time traffic conditions can be achieved through analyzing the surveillance video of this camera. Design the model to collecting images from the camera, and preprocess these images to make subsequent processing easier. Propose the idea of the average background, and the method of background subtraction is used to detect vehicles. Propose the calculation method of the pixel´s weight of image under the perspective law and of the congestion index on the basis of the vehicle pixel statistics, and divide traffic congestion into levels by the index. In the end, experiment is designed to validate the methods.