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Nonprofessionals pay more and more attention to sports events, but in the process of live sports events, the semantics of professional terms are rich. And it is difficult for nonprofessionals to understand the meaning of the game. In order to improve the viewing experience of nonprofessionals, by intelligent target tracking technology, a system to capture athletes’ movement process is proposed. It is possible to analyze the types of athletes’ movements. In competitions or ball games, the system can predict the location of the ball or the player’s drop point. The four different tennis courts, the player’s motion capture, and the accuracy of the tennis landing prediction are further analyzed. The results show that when the athlete is facing the capture camera, the accuracy of motion recognition is high. In the absence of data on the playing field, the accuracy of the system for determining the position of the tennis ball fluctuates greatly. Therefore, this kind of system needs to have enough data to support it before it can be applied to fall point prediction. The proposed system provides a certain reference basis for the design of intelligent sports control facilities.

Video Analysis of Belt and Road Sports Events Based on Wireless Network and Artificial Intelligence Technology