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Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal...
Recently, the studies of human motion analysis have attracted great attention among the researches in the field of biomechanics, medicine and sports by analyzing the joints, postures, and movements of the human. Our research focuses on analyzing the joints movement of a professional golfer. We represent those joint movements with an articulate stick human model. This paper presents a method for tracking...
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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