A multiple camera methodology for automatic localization and tracking of futsal players
The paper deals with automatic futsal player localization and tracking. A method for estimating the player positions as prob. distributions is presented. A solution for dealing with multiple cameras is presented. Particle filters and appearance models are used to enhance the observation model. Results show tracking errors below 70cm per player.
futsal player tracking futsal particle filter data fusion multiple camera observation model