Synthesis of classification supervised algorithms for players identification during a sports meeting

To refine their strategy of play such as football, handball, volley ball, Rugby, the coach need to have a maximum of technico-tactics information about the on-going of the game and the players. We propose in this paper a variety of algorithms contributing to the resolution of the major problem appearing in the automation of team identification to which each player belongs relying on visual data provided by a camera video and digitized by a device processing image. The developed system was tested on a match of the Tunisian national competition.