AI-SAS: Automated In-match Soccer Analysis System

Real-time in-match soccer statistics provide continuous tracking of soccer ball and player positions and speeds, enabling advanced analytics. Currently, only elite soccer leagues have the luxury of tracking in-match soccer statistics operated with a large number of trained personnel. In this work, we present an Automated In-match Soccer Analysis System (AI-SAS), using a domain-knowledge-based multi-view global tracking. This system tracks player team, position, and speed automatically, providing real-time in-match team- and individual-level statistics and analyses. In comparison with the latest soccer analysis systems, AI-SAS is more scalable in streaming multiple video sources for real-time process and more flexible in hosting plug-and-play deep-learning-based tracking-by-detection algorithms. The global multi-view tracking also overcomes the single-view limitation and improves the tracking accuracy.