Basketball Game Systems Identification by Real Time Video Processing
Lotfi Maalej, Tahar Battikh, Imed Jabri · IETE Journal of Research · 2011
AbstractIn this paper, we describe a new strategy of observation and analysis of a basketball match, exploiting video processing techniques in order to identify the game system of a team. Our system realizes the players’ positions tracking during the match. We have in entry three video streams from three fixed cameras, each processed separately to deliver measures of players’ positions from different available views. Each treated view includes foreground detection and a bounding box tracker aimed at containing pixels standing for the players. During the multi-view process, measures resulting from different sights are synchronized in order to identify the same player who can be seen simultaneously on many cameras. These measures are combined in order to obtain the players’ positions as well as their updates through the images. The positions thus obtained have been exploited in a database containing the representative points (coordinates) of all the players who form a polygon. The analysis of a game system ...