SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap

arXiv:2404.11335v1 Announce Type: new
Abstract: Tracking and identifying athletes on the pitch holds a central role in collecting essential insights from the game, such as estimating the total distance covered by players or understanding team tactics. This tracking and identification process is crucial for reconstructing the game state, defined by the athletes' positions and identities on a 2D top-view of the pitch, (i.e. a minimap). However, reconstructing the game state from videos captured by a single camera is challenging. It …

arxiv cs.ai cs.cv cs.lg game identification state tracking type