Research on the Construction of Multi-Sport Integrated Training Monitoring Platform Under 5G Network Environment

This paper firstly proposes a video image processing method based on wavelet transform. The motion feature point fusion in the training process is carried out by the tracking and recognition method of visual feature information, using video action image for information recognition. The time series analysis technique is used to monitor and forecast the functional state of athletes during exercise. Using this method, a set of perfect auxiliary decision system for monitoring the players' training function is established. Then, this paper builds a 3D reconstruction model of motion, and combines motion tracking with motion trajectory identification to extract effective motion information so as to achieve the purpose of optimal monitoring of the entire training process of high-level players. The intelligent monitoring method of motor function based on TS is studied, and a complete monitoring and decision support platform of motor function is constructed. It is found that the football player training function monitoring decision support system proposed in this paper has high accuracy.