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Region-based particle filter for video object segmentation
dc.contributor.author | Varas González, David |
dc.contributor.author | Marqués Acosta, Fernando |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2015-01-23T15:49:37Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Varas, D.; Marques, F. Region-based particle filter for video object segmentation. A: IEEE Conference on Computer Vision and Pattern Recognition. "2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings". Columbus, Ohio: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 3470-3477. |
dc.identifier.isbn | 978-1-4799-5117-8 |
dc.identifier.uri | http://hdl.handle.net/2117/26051 |
dc.description.abstract | We present a video object segmentation approach that extends the particle filter to a region-based image representation. Image partition is considered part of the particle filter measurement, which enriches the available information and leads to a re-formulation of the particle filter. The prediction step uses a co-clustering between the previous image object partition and a partition of the current one, which allows us to tackle the evolution of non-rigid structures. Particles are defined as unions of regions in the current image partition and their propagation is computed through a single co-clustering. The proposed technique is assessed on the SegTrack dataset, leading to satisfactory perceptual results and obtaining very competitive pixel error rates compared with the state-of-the-art methods. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
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.other | Co-clustering |
dc.subject.other | Object segmentation |
dc.subject.other | Particle filter |
dc.title | Region-based particle filter for video object segmentation |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1109/CVPR.2014.444 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 15392611 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Varas, D.; Marques, F. |
local.citation.contributor | IEEE Conference on Computer Vision and Pattern Recognition |
local.citation.pubplace | Columbus, Ohio |
local.citation.publicationName | 2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings |
local.citation.startingPage | 3470 |
local.citation.endingPage | 3477 |