Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14771
Title: An effective trajectory-based algorithm for ball detection and tracking with application to the analysis of broadcast sports video
Authors: YU XINGUO
Keywords: sports video, ball detection and tracking, trajectory-based approach, candidate feature image, ellipse Hough transform, event detection.
Issue Date: 3-Jun-2005
Source: YU XINGUO (2005-06-03). An effective trajectory-based algorithm for ball detection and tracking with application to the analysis of broadcast sports video. ScholarBank@NUS Repository.
Abstract: This thesis is on sports video analysis and enhancement. It addresses three closely-related problems. It first addresses the ball detection and tracking problem in broadcast sports video. It proposes an effective trajectory-based algorithm for locating the ball in a broadcast sports video, which can obtain the accurate results for broadcast soccer/tennis video. Then, it addresses two applications of ball locations: ball-related event detection and reconstruction and enrichment of broadcast soccer video (BSV). For the first application, it proposes a trajectory-based event detection approach, which improves the event detection performance because the events have a close correlation with the ball location. More importantly, this approach can detect some events that may not be detected if we just use low-level features. For the second application, it proposes a reconstruction and enrichment system for BSV. In addition, this thesis proposes a robust ellipse Hough transform and applies it to detect ellipses in BSV.
URI: http://scholarbank.nus.edu.sg/handle/10635/14771
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