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Despite a lot of research efforts, it is still challenging to detect the ball in soccer video, especially in long shot frames. In this paper, we propose a novel real time ball detection framework for broadcast soccer video in long shot frames. Firstly each frame of the video is preprocessed to remove the regions outside ground field and build a saliency binary map. Then, the ball candidates are detected...
The tracking and recognition of human motion, action, and events using computer vision has recently gained widespread interest in both academic research and industrial, with much emphasis on real-time systems. This paper presents a fast and accurate method for tracking the motion path of a person from the video stream. The motion data of the people are acquired in possible cases such as occlusion...
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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