Research on Motion Target Detection and Tracking Algorithm Based on Complex Scene

In order to solve the problem of abnormal video monitoring in coal seam gas mining field, a moving target detection and tracking algorithm based on complex scene is proposed. In this method, a segmentation algorithm based on three-frame difference method is used to divide the image into a static background region and a dynamic background region that includes the reciprocating motion of the water pump. For the static background area, the three-frame difference method and the background subtraction algorithm are used to merge the segmentation foreground, and the three-frame difference method is used to segment the foreground for the dynamic background area, and the foreground target is tracked by using the Kalman tracking algorithm. Experiments show that the algorithm can accurately detect the moving target and track it in the CBM mining scene to meet the real-time requirements of video monitoring.