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Foreground objects segmentation for moving camera scenarios based on SCGMM
dc.contributor.author | Gallego Vila, Jaime |
dc.contributor.author | Pardàs Feliu, Montse |
dc.contributor.author | Solano, Montse |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2013-03-21T10:45:10Z |
dc.date.created | 2013-01-01 |
dc.date.issued | 2013-01-01 |
dc.identifier.citation | Gallego , J.; Pardas, M.; Solano, M. Foreground objects segmentation for moving camera scenarios based on SCGMM. A: "Computational intelligence for multimedia understanding : International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011 : revised selected papers". Springer, 2013, p. 195-206. |
dc.identifier.isbn | 978-3-642-32435-2 |
dc.identifier.uri | http://hdl.handle.net/2117/18450 |
dc.description.abstract | In this paper we present a new system for segmenting non-rigid objects in moving camera sequences for indoor and outdoor sce narios 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.extent | 12 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject.lcsh | Image processing -- Digital techniques |
dc.subject.lcsh | Digital video |
dc.title | Foreground objects segmentation for moving camera scenarios based on SCGMM |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Imatges -- Processament --Tècniques digitals |
dc.subject.lemac | Vídeo digital |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1007/978-3-642-32436-9 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://link.springer.com/book/10.1007/978-3-642-32436-9/page/1 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 11762608 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Gallego , J.; Pardas, M.; Solano, M. |
local.citation.publicationName | Computational intelligence for multimedia understanding : International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011 : revised selected papers |
local.citation.startingPage | 195 |
local.citation.endingPage | 206 |
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