Traffic surveillance using highly-mounted video camera

Compared with the traditional video-based traffic surveillance, the highly-mounted video can surveillance a larger range of traffic scene, and the vehicles in the video are rarely occluded. These characters of highly-mounted video-based traffic surveillance system make it more suitable for acquiring the traffic information of a larger traffic area. This paper present a framework of using highly-mounted video to extract the real-time traffic information. A single Gaussian model is used to estimate and update the background, and then the foreground or moving vehicles are detected; Meanwhile, we transform the image coordinate to the world coordinate with camera calibration to calculate such traffic information as the average velocity of vehicles, and the average length of the vehicle queue on the road; A region-prediction-based technique and feature-based method are combined together to track the moving vehicles, along which the traffic information are calculated.