Table Tennis Animation Simulation Aided Teaching System based on Box Particle Filter Tracking

In the 21st century, the competitive level of Chinese table tennis has always been in the leading position in the world, which can include almost all the champions in the world large-scale events. Therefore, the phenomenon of monopolarization is becoming more and more serious. Box particle filter is a generalized particle filter combined with Monte Carlo method and interval analysis. Because particles are controllable and have non-zero volume multi-dimensional rectangular box in state space, it is called box particle filter. In this paper, the real-time position information of moving target is obtained by feature point matching and data fusion, and then the position is estimated by filtering algorithm and optimization theory.