Spatio-temporal decomposition of sport events for video indexing

Lluis Barceló; Xavier Orriols; Xavier Binefa

Spatio-temporal decomposition of sport events for video indexing

Lluis Barceló, Xavier Orriols, Xavier Binefa

Research output: Contribution to journal › Article › Research › peer-review

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. © Springer-Verlag Berlin Heidelberg 2003.

Original language	English
Pages (from-to)	435-445
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2728
Publication status	Published - 1 Dec 2003

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title = "Spatio-temporal decomposition of sport events for video indexing",

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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.",

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Spatio-temporal decomposition of sport events for video indexing. / Barceló, Lluis; Orriols, Xavier; Binefa, Xavier.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2728, 01.12.2003, p. 435-445.

Research output: Contribution to journal › Article › Research › peer-review

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AB - 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. © Springer-Verlag Berlin Heidelberg 2003.

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