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dc.contributor.authorLópez-Rubio, Francisco Javier
dc.contributor.authorLópez-Rubio, Ezequiel 
dc.contributor.authorLuque-Baena, Rafael Marcos 
dc.contributor.authorDomínguez, Enrique
dc.contributor.authorPalomo-Ferrer, Esteban José 
dc.date.accessioned2014-07-18T11:32:38Z
dc.date.available2014-07-18T11:32:38Z
dc.date.created2014-07-06
dc.date.issued2014-07-18
dc.identifier.urihttp://hdl.handle.net/10630/7869
dc.description.abstractThe selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution to detect foreground objects. Other standard color spaces, such as YCbCr or HSV, have been proposed for background modeling in the literature; although the best results have been achieved using diverse color spaces according to the application, scene, algorithm, etc. In this work, a color space and color component weighting selection process is proposed to detect foreground objects in video sequences using self-organizing maps. Experimental results are also provided using well known benchmark videos.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectModelos matemáticoses_ES
dc.titleColor Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequenceses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleIEEE-WCCI (IJCNN) 2014es_ES
dc.relation.eventplaceBeijing, Chinaes_ES
dc.relation.eventdate6-11 Julio 2014es_ES


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