Intelligent Recognition of Sports Teaching Video Based on Computer Vision Technology

Abstract

In recent years, action recognition has gradually developed into a popular research problem in modern computers and other visual science and technology, and has great social science research value. Domestic and foreign experts, scholars and their research units have done a lot of research on this issue, and they have achieved good results. However, the number of research results obtained from the actual application of the human movement recognition technology in the exercise teaching video is relatively small. One of the main reasons is that the motion recognition technology in the human movement teaching video is relatively complex in the application of human movement teaching. At the same time, there is also its own occlusion problem in sports, which leads to a relatively low accuracy of action recognition. Therefore, the development of motion detection and recognition in sports teaching videos is relatively slow. This article aims to study the intelligent recognition of sports teaching videos based on computer vision technology. On the basis of computer vision technology, recognition algorithms and video image preprocessing analysis, support vector machines are used to train sports movements. After the training is completed, the movement can be realized. The experimental results show that the two simulation experiments have achieved good results, verifying the feasibility of the method in the intelligent recognition of sports teaching videos.