A deep learning framework for multi-object tracking in team sports videos

• Main Authors: Cao, Wei, Wang, Xiaoyong, Liu, Xianxiang, Xu, Yishuai
• Format: Article
• Published: Institution of Engineering and Technology (IET) 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/47061/; https://doi.org/10.1049/cvi2.12266

In response to the challenges of Multi-Object Tracking (MOT) in sports scenes, such as severe occlusions, similar appearances, drastic pose changes, and complex motion patterns, a deep-learning framework CTGMOT (CNN-Transformer-GNN-based MOT) specifically for multiple athlete tracking in sports vide...