An Algorithm Combining YOLOv8 and DeepOCSORT for Automatic Detection and Tracking of Players in Volleyball Games
The detection and tracking of volleyball players are crucial for tactical analysis in sports videos.Player detection and tracking have become key research areas.The current object detection and tracking algorithms in volleyball video analysis suffer from problems such as rapid player movement,clustering of players on the same team,and overlapping targets,leading to detection and tracking errors.This article proposes an improved algorithm combining YOLOv8 and DeepSORT,combined with a spatiotempo-ral attention mechanism module,which can automatically and accurately detect and track athletes for motion trajectory and data anal-ysis.The experimental results show that the algorithm exhibits good tracking accuracy and object detection accuracy in player detec-tion and tracking.
万方数据
维普
