Towards Active Learning for Action Spotting in Association Football Videos

no code implementations • 9 Apr 2023 • Silvio Giancola, Anthony Cioppa, Julia Georgieva, Johsan Billingham, Andreas Serner, Kerry Peek, Bernard Ghanem, Marc Van Droogenbroeck

In this paper, we propose an active learning framework that selects the most informative video samples to be annotated next, thus drastically reducing the annotation effort and accelerating the training of action spotting models to reach the highest accuracy at a faster pace.

Action Spotting Active Learning

Automatic event detection in football using tracking data

no code implementations • 1 Feb 2022 • Ferran Vidal-Codina, Nicolas Evans, Bahaeddine El Fakir, Johsan Billingham

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.

Event Detection