Robot-based motion detection method and its application in PE practice teaching

This paper proposes a robot-based motion detection method. It applies robot to the motion detection of colleges and universities, and takes the visual mechanism coordinate system as the world coordinate system to construct the motion equation of the robot camera. It uses the SR-CKF algorithm to predict the pose information of the athlete and the robot, removes the false observed values from the target observation values in the data association stage, and gets the state vector of the athlete in the update stage, and finally completes the target detection and tracking. The test results show that the proposed method has higher accuracy and efficiency. Select the impact indicators of the quality of the college physical education practice teaching system by comparing different impact indicators listed, and the analysis shows that the higher the accuracy of the motion detection results is, the better the quality of the college physical education practice teaching system will be reflected, and therefore it is more helpful to improve the college physical education teaching level.