Computerized Real-Time Analysis of Football Games
IEEE Pervasive Computing
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Automatic Real-Time Selection and Annotation of Highlight Scenes in Televised Soccer
IEICE - Transactions on Information and Systems
Tracking soccer players aiming their kinematical motion analysis
Computer Vision and Image Understanding
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
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This paper proposes a method for integrating player trajectories tracked in wide-angle images and identities by face and back-number recognition from images by a motion-controlled camera. In order to recover from tracking failures efficiently, the motion-controlled camera scans and follows players who are judged likely to undergo heavy occlusions several seconds in the future. The candidates of identities for each tracked trajectory are probabilistically modeled and updated at every identification. The degradation due to the passage of time and occlusions are also modeled. Experiments showed the system's feasibility for automatic real-time formation estimation which will be applied to metadata production with semantic and dynamic information on sports scenes.