Computer Science - Computer Vision and Pattern Recognition; Soccer; Referee; Multiple views; Decision; SoccerNet; Football; Sports; Sport
Abstract :
[en] The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions,
and ensure fairness. However, due to the lack of referees in many countries and
the high cost of the VAR infrastructure, only professional leagues can benefit
from it. In this paper, we propose a Video Assistant Referee System (VARS) that
can automate soccer decision-making. VARS leverages the latest findings in
multi-view video analysis, to provide real-time feedback to the referee, and
help them make informed decisions that can impact the outcome of a game. To
validate VARS, we introduce SoccerNet-MVFoul, a novel video dataset of soccer
fouls from multiple camera views, annotated with extensive foul descriptions by
a professional soccer referee, and we benchmark our VARS to automatically
recognize the characteristics of these fouls. We believe that VARS has the
potential to revolutionize soccer refereeing and take the game to new heights
of fairness and accuracy across all levels of professional and amateur
federations.
Research Center/Unit :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège Telim
Disciplines :
Electrical & electronics engineering
Author, co-author :
Held, Jan ✱; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Cioppa, Anthony ✱; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Giancola, Silvio ✱
Hamdi, Abdullah
Ghanem, Bernard
Van Droogenbroeck, Marc ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Télécommunications
✱ These authors have contributed equally to this work.
Language :
English
Title :
VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views
Publication date :
June 2023
Event name :
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
