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oai:recercat.cat:2117/112732026-02-04T07:44:40Zcom_2072_1033col_2072_452950

Discriminant and invariant color model for tracking under abrupt illumination changes Scandaliaris, Jorge Sanfeliu Cortés, Alberto Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo Computer vision pattern recognition PARAULES AUTOR: computer vision invariant color model tracking shadows Visió per ordinador Classificació INSPEC::Pattern recognition::Computer vision The output from a color imaging sensor, or apparent color, can change considerably due to illumination conditions and scene geometry changes. In this work we take into account the dependence of apparent color with illumination an attempt to find appropriate color models for the typical conditions found in outdoor settings. We evaluate three color based trackers, one based on hue, another based on an intrinsic image representation and the last one based on a proposed combination of a chromaticity model with a physically reasoned adaptation of the target model. The evaluation is done on outdoor sequences with challenging illumination conditions, and shows that the proposed method improves the average track completeness by over 22% over the hue-based tracker and the closeness of track by over 7% over the tracker based on the intrinsic image representation. Postprint (published version) 2010 Conference report Scandaliaris, J.; Sanfeliu, A. Discriminant and invariant color model for tracking under abrupt illumination changes. A: International Conference on Pattern Recognition. "20th International Conference on Pattern Recognition". 2010, p. 1840-1843. https://hdl.handle.net/2117/11273 10.1109/ICPR.2010.454 eng http://dx.doi.org/10.1109/ICPR.2010.454 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain 4 p. application/pdf