A monocular visual body enhancement algorithm for recreating simulation training games for sports students on the field

At present, the simulation training game for sports students has become an important auxiliary tool in the field of sports training. However, how to provide a more authentic and immersive experience has always been a hot and difficult research topic. In view of this, this paper proposes a method of visual sense enhancement based on monocular vision. In order to improve the accuracy of motion information extraction, Scale-invariant feature transform and sliding window filtering algorithm were used to optimize the results of motion information extraction. The experimental results show that the displacement acceleration and angular velocity on each axis vary significantly from frame to frame, for example, the Y-axis angular velocity varies from 0.178 to 0.924. The monocular vision enhancement algorithm can effectively reflect the dynamic characteristics of objects in the process of motion, help to simulate and reproduce the real motion of things on the field more accurately, and help to improve the skill level of athletes in the training process.