Badminton Flight Trajectory Location and Tracking Algorithm Based on Particle Filter

In order to meet the accuracy requirements of badminton robot, a badminton flight trajectory location and tracking algorithm based on particle filter is proposed. Collect badminton flight images for morphological and filtering processing. Using image features and matching to detect badminton flying targets. Predict the flight trajectory of a badminton ball considering its force situation. Using particle filter algorithm to determine the flight position of badminton, and through real-time updates, achieve the positioning and tracking of badminton flight trajectory. The experimental results show that the trajectory positioning and length tracking errors of the designed algorithm are 4.12 m and 0.13 m, respectively. The tracking update delay is only 7.6 s, and the tracking success rate is as high as 97%. The design method effectively solves the problems of large trajectory positioning tracking errors, low stability, and efficiency.