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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...
Segmentation of video objects is very important for video objects detection or tracking. A simple segmentation approach for sport scene images is proposed in this paper. Firstly, a simple method is applied to detect the interest pixels in images by the defined interest pixels extraction function and a simple strategy is applied to speed the computation in the process of computation gray mean of pixels;...
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...
Sport video enrichment can provide viewers more interaction and user experiences. In this paper, with tennis sport video as an example, two techniques are proposed for video enrichment: content layer separation and real-time rendering. The video content is decomposed into different layers, like field, players and ball, and the enriched video is rendered by re-integrated these layers information. They...
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