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dc.contributor.authorGallego Vila, Jaime
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.authorSolano, Montse
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationGallego, J., Pardas, M., Solano, M. Foreground objects segmentation for moving camera scenarios based on SCGMM. A: International Workshop on Computational Intelligence for Multimedia Understanding. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)". 2011, p. 195-206.
dc.description.abstractIn this paper we present a new system for segmenting non-rigid objects in moving camera sequences for indoor and outdoor scenarios that achieves a correct object segmentation via global MAP-MRF framework formulation for the foreground and background classification task. Our proposal, suitable for video indexation applications, receives as an input an initial segmentation of the object to segment and it consists of two region-based parametric probabilistic models to model the spatial (x,y) and color (r,g,b) domains of the foreground and background classes. Both classes rival each other in modeling the regions that appear within a dynamic region of interest that includes the foreground object to segment and also, the background regions that surrounds the object. The results presented in the paper show the correctness of the object segmentation, reducing false positive and false negative detections originated by the new background regions that appear near the region of the object.
dc.format.extent12 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshImage processing
dc.subject.otherMoving camera sequences
dc.subject.otherObject segmentation
dc.subject.otherVideo indexation
dc.titleForeground objects segmentation for moving camera scenarios based on SCGMM
dc.typeConference report
dc.subject.lemacImatges -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorGallego, J.; Pardas, M.; Solano, M.
local.citation.contributorInternational Workshop on Computational Intelligence for Multimedia Understanding
local.citation.publicationNameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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