Abstract
This paper presents an algorithm that aims to perform automatic summarization in broadcast soccer videos. The summarization considers identifying and keeping only the highlights of the match. A situation that could be considered a highlight is defined as one with high convergence of players to a spot. Our approach considers velocities and positions of the players, and an inferred movement of the TV camera as basic features to be extracted. The movement of the TV cameras are approximated using the movement of all the players in the image. A motion field is computed over the image in order to analyze aspects of the match. The algorithm was tested with real data of a soccer match and results are promising considering the approach uses as input broadcast videos only, and it has no a priori knowledge of cameras positions or other fixed parameters.
Chapter PDF
Similar content being viewed by others
References
Carr, J.C., et al.: Surface Interpolation with Radial Basis Functions for Medical Imaging. IEEE Transactions on Medical Imaging 16(1), 96–107 (1997)
Choi, K., Seo, Y.: Tracking Soccer Ball in TV Broadcast Video. In: Roli, F., Vitulano, S. (eds.) ICIAP 2005. LNCS, vol. 3617, pp. 661–668. Springer, Heidelberg (2005)
Choi, K., Seo, Y.: Probabilistic Tracking of the Soccer Ball. In: Comaniciu, D., Mester, R., Kanatani, K., Suter, D. (eds.) SMVP 2004. LNCS, vol. 3247, pp. 50–60. Springer, Heidelberg (2004)
Kim, K., et al.: Motion Fields to Predict Play Evolution in Dynamic Sport Scenes. In: Proceedings of CVPR 2010, pp. 840–847 (2010)
Seo, Y., et al.: Where are the Ball and the Players? Soccer Game Analysis with Color-based Tracking and Image Mosaick. In: Del Bimbo, A. (ed.) ICIAP 1997. LNCS, vol. 1311, pp. 196–203. Springer, Heidelberg (1997)
Sgarbi, E., Borges, D.L.: Structure in Soccer Videos: Detecting and Classifying Highlights for Automatic Summarization. In: Sanfeliu, A., Cortés, M.L. (eds.) CIARP 2005. LNCS, vol. 3773, pp. 691–700. Springer, Heidelberg (2005)
Shi, J., Tomasi, C.: Good Features to Track. In: Proceedings of CVPR, pp. 593–600 (1994)
Mountney, P.: Tracking Football Players using Conditional Density Propagation. Master Thesis, University of Bristol UK (2003)
Wu, Y., Fan, J.: Contextual flow. In: Proceedings of CVPR, pp. 33–40 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Junior, W.A.G., Borges, D.L. (2012). An Algorithm for Highlights Identification and Summarization of Broadcast Soccer Videos. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_106
Download citation
DOI: https://doi.org/10.1007/978-3-642-33275-3_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33274-6
Online ISBN: 978-3-642-33275-3
eBook Packages: Computer ScienceComputer Science (R0)