Individual Action and Group Activity Recognition in Soccer Videos from a Static Panoramic Camera

Beerend Gerats, Henri Bouma, Wouter Uijens, Gwenn Englebienne, Luuk Spreeuwers

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Abstract

Data and statistics are key to soccer analytics and have important roles in player evaluation and fan engagement. Automatic recognition of soccer events - such as passes and corners - would ease the data gathering process, potentially opening up the market for soccer analytics at non professional clubs. Existing approaches extract events on group level only and rely on television broadcasts or recordings from multiple camera viewpoints. We propose a novel method for the recognition of individual actions and group activities in panoramic videos from a single viewpoint. Three key contributions in the proposed method are (1) player snippets as model input, (2) independent extraction of spatio-temporal features per player, and (3) feature contextuali-sation using zero-padding and feature suppression in graph attention networks. Our method classifies video samples in eight action and eleven activity types, and reaches accuracies above 75% for ten of these classes.

Original languageEnglish
Title of host publicationICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods
EditorsMaria De Marsico, Gabriella Sanniti di Baja, Ana Fred
PublisherSCITEPRESS
Pages594-601
Number of pages8
Volume1
ISBN (Electronic)978-989-758-486-2
ISBN (Print)9789897584862
DOIs
Publication statusPublished - 2021
Event10th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021 - Virtual, Online
Duration: 4 Feb 20216 Feb 2021
Conference number: 10

Publication series

NameInternational Conference on Pattern Recognition Applications and Methods
PublisherScitePress
Volume1
ISSN (Electronic)2184-4313

Conference

Conference10th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021
Abbreviated titleICPRAM 2021
CityVirtual, Online
Period4/02/216/02/21

Keywords

  • Action recognition
  • Group activity recognition
  • Player snippets
  • Soccer match events

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