Multi-resolution illumination compensation for foreground extraction

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RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/7774

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor.author	Suau Cuadros, Xavier
dc.contributor.author	Casas Pla, Josep Ramon
dc.contributor.author	Ruiz Hidalgo, Javier
dc.date	2009-11
dc.identifier.citation	Suau, X.; Casas, J.; Ruiz, J. Multi-resolution illumination compensation for foreground extraction. A: International Conference on Image Processing. "16th International Conference on Image Processing". 2009, p. 3225-3228.
dc.identifier.citation	978-1-4244-5655-6
dc.identifier.citation	10.1109/ICIP.2009.5414358
dc.identifier.uri	http://hdl.handle.net/2117/7774
dc.language.iso	eng
dc.relation	http://www.icip2009.org
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject	Signal theory (Telecommunication)
dc.subject	Video surveillance
dc.subject	Senyal, Teoria del (Telecomunicació)
dc.subject	Llum
dc.title	Multi-resolution illumination compensation for foreground extraction
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Best Student Paper Award
dc.description.abstract	Illumination changes may lead to false foreground (FG) segmentation and tracking results. Most of the existing FG extraction algorithms obtain a background (BG) estimation from temporal statistical parameters. Such algorithms consider a quasi-static BG which does not change but slowly. Therefore, fast illumination changes are not taken into account by the BG estimator and they are considered as FG. The aim of the proposed algorithm is to reduce illumination effects in video sequences in order to improve foreground segmentation performances.
dc.description.abstract	Award-winning

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