IFHS Method on Moving Object Detection in Vehicle Flow

Moving target detection is widely used in the field of intelligent monitoring. This paper proposes an Improved Frame Difference Method Fusion Horn-Schunck Optical Flow Method (IFHS) algorithm to detect moving targets in video surveillance. First, a three-frame difference method is performed on the image to obtain a difference image. Second, the differential image is tracked according to the HS optical flow method to obtain an optical flow vector. Finally, the moving target is obtained by fusing the optical flow vector information of the two difference results. The problem of incomplete contours of moving targets detected in video surveillance by the separate optical flow method and the three-frame difference method is solved. The experimental simulation and experimental applications in different scenarios prove the robustness and accuracy of the method.