We utilize characteristics of synchronized multi-view videos. Based on a pose detection model, we detect each player＇s position and key points. We then develop a multi-view multi-dimensional association algorithm to find correspondence of detections across different views. Then calculate 3D positions and perform 3D tracking, generating the 3D trajectories. Our system can be applied to tactical analysis, and player performance assessment, providing scientific data to players and coaches.