Publication
Temporally accurate events detection through ball possessor recognition in soccer
Conference Article
Conference
International Conference on Computer Vision Theory and Applications (VISAPP)
Edition
2025
Pages
221-231
Doc link
http://dx.doi.org/10.5220/0013317700003912
File
Abstract
Recognizing specific actions in soccer games has become an increasingly important research topic. One key area focuses on accurately identifying when passes and receptions occur, as these are frequent actions in games and critical for analysts reviewing match strategies. However, most current methods do not pinpoint when these actions happen precisely enough and often fail to show which player is making the move. Our new method uses video footage to detect passes and receptions and identifies which player is involved in each action by following possession of the ball at each moment. We create video clips, or tubes, for every player on the field, determine who has the ball, and use this information to recognize when these key actions take place. Our results show that our system is better than the latest models in spotting passes and can identify most events with an accuracy down to 0.6 seconds.
Categories
computer vision, object detection.
Author keywords
Soccer, Events Detection
Scientific reference
M. Peral, G. Capellera, A. Rubio, L. Ferraz, F. Moreno-Noguer and A. Agudo. Temporally accurate events detection through ball possessor recognition in soccer, 2025 International Conference on Computer Vision Theory and Applications, 2025, Porto, Portugal, pp. 221-231.
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