|Title:||Camera calibration in sport event scenarios||Authors:||Alemán-Flores, M.
|UNESCO Clasification:||220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
|Issue Date:||2014||Project:||Modelización Matemática de Los Procesos de Calibración de Cámaras de Video.||Journal:||Pattern Recognition||Abstract:||The main goal of this paper is the design of a novel and robust methodology for calibrating cameras from a single image in sport scenarios, such as a soccer field, or a basketball or tennis court. In these sport scenarios, the only references we use to calibrate the camera are the lines and circles delimiting the different regions. The first problem we address is the extraction of image primitives, including the challenging problems of shaded regions and lens distortion. From these primitives, we automatically recognise the location of the sport court in the scene by estimating the homography which matches the actual court with its projection onto the image. This is achieved even when only a few primitives are available. Finally, from this homography, we recover the camera calibration parameters. In particular, we estimate the focal length as well as the position and orientation in the 3D space. We present some experiments on models and real courts which illustrate the accuracy of the proposed methodology. © 2013 Elsevier Ltd. All rights reserved.||URI:||http://hdl.handle.net/10553/46186||ISSN:||0031-3203||DOI:||10.1016/j.patcog.2013.05.011||Source:||Pattern Recognition [ISSN 0031-3203], v. 47 (1), p. 89-95|
|Appears in Collections:||Artículos|
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