Research on Video Target Tracking System of Badminton Sports Based on Combination Optimization Algorithm

Abstract:
In today's society, people's demand for sports is getting higher and higher, and badminton with its unique charm attracts the masses to participate in it, and it gradually becomes one of the main ways of people's daily fitness. In our country, badminton is a young, fashionable and fun sport, due to its own characteristics and ornamental value, making it very attractive to the masses. However, with the continuous development of China's economy and the increasing improvement of people's living standards, people's requirements for the sports industry are getting higher and higher, especially for the target tracking problem involved in badminton. In this paper, we focus on establishing the target trajectory and coordinate system in badminton videos based on the combinatorial optimization algorithm. Through experimental comparison and analysis, it is concluded that the method can effectively solve our traditional artificial neural network in the tracking process will produce a large number of errors, and can achieve faster and accurate prediction of the ball near field and position changes and other functions, and it can also monitor the athletes in real time, so as to improve its tracking accuracy.