Multiple sports player tracking system based on graph optimization using low-cost cameras

Multiplayer tracking is a key technology for strategic analysis in team sports. Since existing solutions use high-resolution cameras and are also expensive to install, they are primarily for professionals and there are almost no solutions that consumers can easily obtain. We focused on K-Shortest Paths which performs well with low-end cameras located at a tripod-level height, where occasional detection failure may occur. We implemented a prototype that can generate visual tracking results based on the algorithm, investigated factors that influences tracking performance and computation time using multi-camera video sequences, and estimated computation time for tracking multiplayer in several team sports.