Tracking and identification for football video analysis using deep learning
We describe the technique used to train and customize deep learning models to detect, track, and identify soccer players, who are recorded during soccer games using custom camera settings. The player detection model is customized to allow the detection of person class objects from video input. Two n...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12964841.v1 |
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