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Automatic event detection in football using tracking data. (arXiv:2202.00804v3 [cs.LG] UPDATED)
Sept. 1, 2022, 1:11 a.m. | Ferran Vidal-Codina, Nicolas Evans, Bahaeddine El Fakir, Johsan Billingham
cs.LG updates on arXiv.org arxiv.org
One of the main shortcomings of event data in football, which has been
extensively used for analytics in the recent years, is that it still requires
manual collection, thus limiting its availability to a reduced number of
tournaments. In this work, we propose a deterministic decision tree-based
algorithm to automatically extract football events using tracking data, which
consists of two steps: (1) a possession step that evaluates which player was in
possession of the ball at each frame in the …
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