Football Trajectory Monitoring System based on Improved RRT-FN Algorithm

Soccer robot involves artificial intelligence, image processing, information fusion and other related fields. As a good robot research platform, it is paid more and more attention by scientific research institutions and universities. This paper summarizes the basic principle of the improved rrt-fn algorithm, analyzes the sampling strategy of the improved rrt-fn algorithm, briefly describes the advantages of the improved rrt-fn algorithm, puts forward the football human-computer interaction system, and studies the occlusion scene of the same team members. The results show that in the test of track 5, rrt-fn algorithm only obtains the AUC value of 3.82, which is due to the failure to correctly distinguish the tracked target from the occluded similar target, resulting in false tracking.