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Proceedings Paper

Slow motion replay detection of tennis video based on color auto-correlogram
Author(s): Xiaoli Zhang; Min Zhi
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Paper Abstract

In this paper, an effective slow motion replay detection method for tennis videos which contains logo transition is proposed. This method is based on the theory of color auto-correlogram and achieved by fowllowing steps: First,detect the candidate logo transition areas from the video frame sequence. Second, generate logo template. Then use color auto-correlogram for similarity matching between video frames and logo template in the candidate logo transition areas. Finally, select logo frames according to the matching results and locate the borders of slow motion accurately by using the brightness change during logo transition process. Experiment shows that, unlike previous approaches, this method has a great improvement in border locating accuracy rate, and can be used for other sports videos which have logo transition, too. In addition, as the algorithm only calculate the contents in the central area of the video frames, speed of the algorithm has been improved greatly.

Paper Details

Date Published: 2 June 2012
PDF: 4 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341C (2 June 2012); doi: 10.1117/12.946591
Show Author Affiliations
Xiaoli Zhang, Inner Mongolia Normal Univ. (China)
Min Zhi, Inner Mongolia Normal Univ. (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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