College of Sports Science, Fujian Normal University, Fu Zhou, Fu Jian 350007, China.
Department of Physical Education, Fujian Business University, Fu Zhou, Fu Jian 350012, China.
Comput Intell Neurosci. 2022 May 29;2022:8168396. doi: 10.1155/2022/8168396. eCollection 2022.
In recent years, significant advances in the development of computer vision technology have produced many platforms and systems that combine computer technology and sports-assisted training, including intelligent systems that are integrated with golf training and instruction. However, the existing intelligent systems for golf-assisted teaching usually use three-dimensional depth information, which will significantly increase the cost of intelligent systems. In this paper, the extraction of golf club slope is carried out on the basis of golf sport video capture using a common monocular camera in order to match the club slope information with the professional coach swing video information. At the same time, in order to facilitate the interframe matching, the joint point information is complemented using the projection approximation point algorithm, and the segmentation of the swing video is performed using the complemented human hand joints and the fixed characteristics of the golf swing. Then, in order to solve the problem that human joints will have the same joint angle under different movements, the human limb joint angles are defined and then the swing movements in the user video frames are evaluated.
近年来，计算机视觉技术的发展取得了重大进展，产生了许多结合计算机技术和运动辅助训练的平台和系统，包括与高尔夫训练和指导相结合的智能系统。然而，现有的高尔夫辅助教学智能系统通常使用三维深度信息，这将显著增加智能系统的成本。本文在使用普通单目摄像机捕捉高尔夫运动视频的基础上，进行高尔夫球杆倾斜度的提取，以便将球杆倾斜度信息与专业教练挥杆视频信息相匹配。同时，为了便于帧间匹配，使用投影近似点算法补充关节点信息，并使用补充的人手关节和高尔夫挥杆的固定特征对挥杆视频进行分割。然后，为了解决人体关节在不同运动下会出现相同关节角度的问题，定义人体肢体关节角度，然后评估用户视频帧中的挥杆动作。
