Research on traffic flow detection algorithm based on road video

摘要

When using the road monitoring video to detect the traffic flow, the vehicle may be treated as one due to the close distance in the video, or the vehicle may be misdetected or missed due to noise interference, resulting in inaccurate traffic data. In order to solve this problem, this paper proposes to generate a foreground for road vehicles by LK local differential optical flow method, calculates the Euclidean distance between the vehicle and the background by using the base watershed algorithm, screens the vehicle position, and segment the adhesion vehicles. At the same time, according to the best position of the vehicle in the video, the virtual detection line is set. The Kalman filter is used to optimise the monitoring data, the traffic flow data statistics error problem is solved, and the accurate traffic flow data is obtained. The experimental result shows that the method mentioned in the paper can obtain accurate traffic data.