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A Tennis Ball Tracking Algorithm for Automatic Annotation of Tennis Match
Author(s) -
Fei Yan,
William Christmas,
Josef Kittler
Publication year - 2005
Publication title -
surrey open research repository (university of surrey)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.19.67
Subject(s) - tennis ball , computer science , ball (mathematics) , annotation , computer vision , artificial intelligence , tracking (education) , computer graphics (images) , sports equipment , mathematics , engineering , psychology , mechanical engineering , mathematical analysis , pedagogy
Several tennis ball tracking algorithms have been reported in the literature. However, most of them use high quality video and multiple cameras, and the emphasis has been on coordinating the cameras, or visualising the tracking results. In this paper, we propose a tennis ball tracking algorithm for low quality off-air video recorded with a single camera. Multiple visual cues are exploited for tennis candidate detection. A particle filter with improved sampling efficiency is used to track the tennis candidates. Experimental results show that our algorithm is robust and has a tracking accuracy that is sufficiently high for automatic annotation of tennis matches.

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