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With the increasing demand of video services, efficient detection approaches are required to deal with the increasing amount of sport video like baseball, tennis and soccer. Specially, due to characteristics of soccer game, timeliness is a foremost. So apart from efficient performance, real-time or near real-time performance is crucial. In this paper, we propose an effective method for soccer video...
This paper proposes the use of a Visual Sensor Network (VSN) for tracking the motion of tennis players on court in real-time. The proposed autonomous and wireless VSN nodes are miniaturised and powered by battery, making them ideally suited for monitoring training sessions and matches at any location. With the proposed framework, the player is tracked in the image plane using a statistical background...
In this paper a new strategy for observing and analyzing a basketball match using video processing techniques to identify the game systems of a team is described. The system tracks players' positions during the match. At the outset, three video streams from three fixed cameras are available, each processed separately to deliver measures of the players' positions from different available views. Each...
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