Football sports video tracking and detection technology based on YOLOv5 and DeepSORT

Enhancing the analysis of football sports video is of great practical significance and commercial value for tactical analysis, player performance evaluation, tournament broadcasting, and many other aspects. Considering that the current target detection and tracking is characterized by complex scene...

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Veröffentlicht in:	Discover applied sciences Jg. 7; H. 6; S. 563 - 17
1. Verfasser:	Wang, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 29.05.2025 Springer Nature B.V Springer
Schlagworte:	Accuracy Algorithms Applied and Technical Physics Artificial intelligence Athletes Chemistry/Food Science Decision making Earth Sciences Efficiency Engineering Environment Football Kalman filters Lightweight network structure Materials Science Multi-object tracking algorithm Object detection Object recognition Occlusion Performance evaluation Real time Sports Target detection Tracking Unscented Kalman filter Multi-object tracking algorithm Lightweight network structure Object detection MOTP MOTA Football Unscented Kalman filter MAP
ISSN:	3004-9261, 2523-3963, 3004-9261, 2523-3971
Online-Zugang:	Volltext
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