Three-dimensional video monitoring and simulation of basketball players' jump shot precision.

Three-dimensional videos monitor basketball players' jump action and can enhance the accuracy of the jump shot of basketball players. In the implementation of video threedimensional monitoring on the precision of jump shot of basketball players, basketball players' jump shot images of different angles must be collected. But the previous means of monitoring can only analyze jump shots from a single perspective, which makes it difficult to obtain the video image of the jump shot movement completed and lowers the accuracy of three-dimensional video monitoring of basketball players' jump shot. In this paper, a threedimensional reconstruction method for basketball players' jump shot action is developed to perfect the KLT feature points, and the KLT feature point algorithm is first used to collect the jump shot motion images of basketball players from many angles. The camera projection matrix is constructed, and the external parameters between the camera and the specific coordinates of the athletes' jump shot action space points corresponding to each image matching point are figured out. According to the twodimensional data of joint force characteristic points in the process of basketball players' in situ jump shot in single video image sequence, the three-dimensional information is obtained. Finally, the three-dimensional video monitoring of the precision of the athlete's jump shot is completed. From the simulation results, it can be seen that the proposed algorithm can accurately establish the three-dimensional model for the jump shot motions of basketball players and can improve the precision of the jump shot of the basketball players comprehensively. [ABSTRACT FROM AUTHOR]