A deep learning framework for multi-object tracking in team sports videos
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institution of Engineering and Technology (IET)
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/47061/ https://doi.org/10.1049/cvi2.12266 |
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