Shenyang Sport University, Shenyang 110102, China.
Shenyang Polytechnic College, Shenyang, China.
Comput Intell Neurosci. 2021 Nov 16;2021:2324352. doi: 10.1155/2021/2324352. eCollection 2021.
Based on video, the human movement can be analyzed to achieve scientific training and skill improvement. Specifically, according to the video data during the movement, the human body can be detected and tracked, and relevant trajectory data can be obtained. On this basis, key motion parameters can be obtained and quantitative analysis of motion can be achieved. This paper uses video processing technologies to analyze the long jump posture in physical education. According to the video sequences measured during the athlete's long jump, the target detection and tracking algorithms are used to obtain the athlete's trajectory after preprocessing. Afterwards, further processing is carried out to calculate speed, angle, posture, and other related information to assist scientific sports training. The experimental results based on the measured data show that the algorithm can realize the analysis of the long jump scene and complete the quantitative analysis of the key indicators of the athletes. The research results can effectively support school physical education and guidance training and also provide a reference for other competitive video analysis.
基于视频，可以对人体运动进行分析，以实现科学训练和技能提升。具体来说，根据运动过程中的视频数据，可以检测和跟踪人体，并获得相关的轨迹数据。在此基础上，可以获得关键运动参数，并对运动进行定量分析。本文使用视频处理技术来分析体育教育中的跳远姿势。根据运动员跳远过程中测量的视频序列，使用目标检测和跟踪算法在预处理后获得运动员的轨迹。然后，进一步进行处理以计算速度、角度、姿势等相关信息，以辅助科学运动训练。基于测量数据的实验结果表明，该算法可以实现跳远场景的分析，并完成运动员关键指标的定量分析。研究结果可以有效支持学校体育教育和指导训练，也为其他竞技视频分析提供参考。
