Abstract The capture and analysis of moving targets in shooting testing systems is a key technique that helps todetermine the accuracy and reliability of shooting. The detection process mainly involves the recognition, tracking, and data analysis of moving targets. This detection method requires the use of efficient image processing and computer vision technology. In shooting testing systems, efficient algorithms are used... The capture and analysis of moving targets in shooting testing systems is a key technique that helps todetermine the accuracy and reliability of shooting. The detection process mainly involves the recognition, tracking, and data analysis of moving targets. This detection method requires the use of efficient image processing and computer vision technology. In shooting testing systems, efficient algorithms are used to identify moving targets from video or image sequences. These targets may be bullets, projectiles, or other dynamic objects. By using image processing techniques with high sensitivity and specificity, moving targets can be effectively separated from the background. The capture and analysis of moving targets in shooting testing systems is a powerful technique that can provide important information about shooting effectiveness. By using advanced image processing and computer vision technology, recognition, tracking, and data analysis of moving targets can be achieved. This information is crucial for evaluating the accuracy and reliability of shooting. Read More Read Less

Abstract Table tennis, as a highly competitive sport, requires athletes and equipment to have a high level of performance. However, traditional table tennis performance testing methods mainly rely on manual testing, which is inefficient and susceptible to subjective factors. This article studies the application analysis of table tennis performance based on image motion object detection analysis. Firstly, the research background and... Table tennis, as a highly competitive sport, requires athletes and equipment to have a high level of performance. However, traditional table tennis performance testing methods mainly rely on manual testing, which is inefficient and susceptible to subjective factors. This article studies the application analysis of table tennis performance based on image motion object detection analysis. Firstly, the research background and significance were introduced, and the research objectives and direction were clarified. Next, the methods and principles of image-based motion object detection and analysis were introduced, including steps such as image preprocessing, object detection, and feature extraction. Then, based on the application analysis of table tennis performance, a machine vision-based table tennisperformance testing method and experimental plan were proposed. Finally, the feasibility and effectiveness of this method were verified through experiments, and the experimental results were analyzed. Read More Read Less

Abstract Trampoline is a highly technical sport that requires athletes to possess high skills and physical fitness. This paper proposes a trampoline simulation analysis system based on a digital three-dimensional arrangement algorithm to improve athletes' training levels and competition performance. This article studies constructing a trampoline simulation analysis system using a digital 3D arrangement algorithm. The system aims to simulate the... Trampoline is a highly technical sport that requires athletes to possess high skills and physical fitness. This paper proposes a trampoline simulation analysis system based on a digital three-dimensional arrangement algorithm to improve athletes' training levels and competition performance. This article studies constructing a trampoline simulation analysis system using a digital 3D arrangement algorithm. The system aims to simulate the process of trampoline exercise, accurately analyze and evaluate athletes' movements, and provide effective training guidance and feedback for coaches and athletes. This article first introduces the basic principle of digital 3D arrangement algorithm and its application in trampoline motion analysis and then elaborates on the construction process of the system, including modules such as motion capture, data preprocessing, motion recognition and evaluation. Finally, the feasibility and effectiveness of the system were verified through experiments. Read More Read Less