Moving Object Detection and Marking Based on Frame Difference and Train Algorithm for Teaching Video

Moving object detection is an important branch of video image processing technology. It is widely used in military, transportation, aviation and other fields. However, there are still gaps in the field of teaching. In this paper, moving object detection is applied to the field of teaching video. The train algorithm is designed to mark the unconnected areas. Then a moving object detection and marking system is realized to assist teachers in managing the classroom. Firstly, the system uses the frame difference method to detect the moving object. Secondly, the custom threshold is used for binarization. Then the median filter and open operation is used to denoise and morphological processing. After that, the obtained unconnected region is segmented and located by the processing of the train algorithm. Finally, the moving region greater than the threshold is marked according to the set pixels and threshold in the block. The system results show the effectiveness of the algorithm and the accuracy of moving object detection in teaching video.