Abstract
In this paper we present a robust technique for summarizing sport video sequences. Unlike dense optical flow and parametric methods, we develop a semi-automatic application that uses geometrical information, such as straight lines, extracted from sequences of images. This information is used to compute the homographies between consecutive frames. This estimation yields a manner of synthesizing a high resolution image of the background plus the field-centered trajectories of the moving objects onto it.
Work supported by CICYT grant TEL99-1206-C02-02
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References
M. J. Black and P. Anandan. A framework for the robust estimation of optical flow. In Fourth International Conf. on Computer Vision, pages 231–236, 1993.
M. J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding: CVIU, 63(1):75–104, 1996.
J.-Y. Bouguet. Pyramidal implementation of the lucas kanade feature tracker description of the algorithm. Microprocessor Research Labs, 2000.
D.A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. Prentice Hall, 2002.
G.H. Golub and C. F. V. Loan. Matrix Computations. The John Hopkins University Press, third edition, 1996.
R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
MPEG Requirements Group. MPEG-7 context, objectives and technical roadmap, doc. ISO/IEC/JTC1/SC29/WG11 N2729, Seoul meeting, March 1999.
P. Salembier, R. Qian, N. O’Connor, P. Correia, I. Sezan, and P. van Beek. Description schemes for video programs, users and devices. Signal Processing: Image Communication., 16:211–234, 2000.
H. Shum and R. Szeliski. Panoramic image mosaics. Microsoft Research Technical Report MSR-TR-97-23, 1997.
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© 2003 Springer-Verlag Berlin Heidelberg
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Barceló, L., Orriols, X., Binefa, X. (2003). Spatio-Temporal Decomposition of Sport Events for Video Indexing. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_43
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DOI: https://doi.org/10.1007/3-540-45113-7_43
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