Abstract
Sport Video understanding aims to select and summarize important video events that occur in only special fragments of the whole sports video. A key aspect to this objective is to determine the position in the match field where the action takes place, that is, the location context of the play. In this paper we present a method to localize where in the match field the play is taking place. We apply our method to soccer videos, although the method is extensive to other sports. The method is based on constructing the mosaic of the first sequence that we process: this new mosaic is used as a context mosaic. Using this mosaic we register the frames of the other sequences in order to put in correspondence all the frames with the context mosaic, that is, put in context any play. In order to construct the mosaics, we have developed a novel method to register the soccer sequences based on tracking imaginary straight lines using the Lucas-Kanade feature tracker and the vb-QMDPE robust estimator.
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Barceló, L., Binefa, X. (2005). Contextual Soccer Detection Using Mosaicing Techniques. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_10
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DOI: https://doi.org/10.1007/11492429_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
Online ISBN: 978-3-540-32237-5
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