PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories

ArXi:2602.12080v2 Announce Type: replace Despite recent advances in AI, event data collection in soccer still relies heavily on labor-intensive manual annotation. Although prior work has explored automatic event detection using player and ball trajectories, ball tracking also remains difficult to scale due to high infrastructural and operational costs. As a result, comprehensive data collection in soccer is largely confined to top-tier competitions, limiting the broader adoption of data-driven analysis in this domain.