Abstract
Today, a large number of (elite) sports clubs spend a large amount of resources to analyze their game performance, either manually or using one of the many existing analytics tools. In the area of soccer, there exist several systems where trainers and coaches can analyze the game play in order to improve the performance. However, most of these systems are cumbersome and relies on manual work from many people and/or heavy video processing.
In this thesis, we present Bagadus, a prototype of a soccer analysis application which integrates a sensor system, soccer analytics annotations and video processing of a video camera array.
The prototype is currently installed at Alfheim Stadium in Norway, and we demonstrate how the system can follow and zoom in on particular player(s), and search for and playout events from the games using the stitched panorama video and/or the camera switching mode.