Research on intelligent generation of volleyball training strategies combining YOLOv5 + DeepSORT trajectory data and a key point CNN model (opens in new tab)

Volleyball training increasingly requires objective information about how players move, coordinate, and execute technical actions during live practice. This study evaluated an integrated video-based system combining YOLOv5 player detection, DeepSORT trajectory tracking, and convolutional neural-network keypoint analysis to support individualized training prescriptions. Fifty-six competitive volleyball athletes were assigned to a six-week parallel-group intervention comparing standard coaching...