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Tactic analysis is receiving more attention in sports video analysis for its assistance to coaches and players. This paper proposes an efficient key sub-trajectory feature representation of ball trajectory for tactic analysis. Ball trajectories are modeled with the generalized suffix tree where frequent sub-trajectory patterns are searched for. Key sub-trajectory patterns are extracted by further...
In this paper we propose a novel framework for action recognition based on multiple features for improve action recognition in videos. The fusion of multiple features is important for recognizing actions as often a single feature based representation is not enough to capture the imaging variations (view-point, illumination etc.) and attributes of individuals (size, age, gender etc.). Hence, we use...
Enormous accessible broadcast soccer videos demand an efficient ball and player trajectory extraction framework to represent the tactic semantics for the automatic analysis. Camera motions, noise and blurs in broadcast videos make it difficult to extract the trajectories with a single existing object tracking algorithm. In this paper, we propose a novel framework for ball and player trajectory extraction...
We can record swimmerspsila real-time training actions when underwater trolleys carrying cameras track swimmers. Swimmerspsila (moving object) location in images can be detected automatically from the acquired image sequences with image processing, video analysis and computer processing techniques. We can predict the targetpsilas location in next frame on previous locations then we can track and shoot...
This paper presents a system for real-time tracking of athletes in diving training scenes. The system employs a cascade framework, and only certain regions of interest (ROI) where the athletes could appear are processed. First, background subtraction method is performed in current ROI to extract foreground regions; then, non-human foreground objects such as the springboards are excluded using prior...
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