Foul prediction with estimated poses from soccer broadcast video

arXiv:2402.09650v1 Announce Type: cross
Abstract: Recent advances in computer vision have made significant progress in tracking and pose estimation of sports players. However, there have been fewer studies on behavior prediction with pose estimation in sports, in particular, the prediction of soccer fouls is challenging because of the smaller image size of each player and of difficulty in the usage of e.g., the ball and pose information. In our research, we introduce an innovative deep learning approach for anticipating soccer …

abstract advances arxiv behavior broadcast computer computer vision cs.cv cs.lg image prediction progress soccer sports studies tracking type video vision