Abstract
In this paper we propose a complete system for automatic annotation of tennis video sequences. The method is completely automatic and computationally efficient. The court lines are detected by means of the Hough Transform while the players’ positions are extracted looking for those edge pixels whose orientation is different from the lines of the court. Finally, we show some experimental results remarking the system efficiency and classification skills.
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© 2002 Springer-Verlag Berlin Heidelberg
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Calvo, C., Micarelli, A., Sangineto, E. (2002). Automatic Annotation of Tennis Video Sequences. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_65
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DOI: https://doi.org/10.1007/3-540-45783-6_65
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-45783-1
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