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Automatic event detection in football using tracking data. (arXiv:2202.00804v1 [cs.LG])
Feb. 3, 2022, 2:11 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 computational framework to
automatically extract football events using tracking data, namely the
coordinates of all players and the ball. Our approach consists of two models:
(1) the possession model evaluates which player was in possession of …
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