Rejection based multipath reconstruction for background estimation in video sequences with stationary objects

This is the author’s version of a work that was accepted for publication in Computer Vision and Image Understanding. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this docu...

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Detalhes bibliográficos
Autores: Ortego Hernández, Diego, San Miguel Avedillo, Juan Carlos, Martínez Sánchez, José María
Tipo de documento: artigo
Data de publicação:2016
País:España
Recursos:Universidad Autónoma de Madrid
Repositório:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglês
OAI Identifier:oai:repositorio.uam.es:10486/675251
Acesso em linha:http://hdl.handle.net/10486/675251
https://dx.doi.org/10.1016/j.cviu.2016.03.012
Access Level:Acceso aberto
Palavra-chave:Background estimation
Background visibility
Clustering
Multipath
Smoothness
Stationary foreground
Telecomunicaciones
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spelling Rejection based multipath reconstruction for background estimation in video sequences with stationary objectsOrtego Hernández, DiegoSan Miguel Avedillo, Juan CarlosMartínez Sánchez, José MaríaBackground estimationBackground visibilityClusteringMultipathSmoothnessStationary foregroundTelecomunicacionesThis is the author’s version of a work that was accepted for publication in Computer Vision and Image Understanding. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Vision and Image Understanding, VOL147 (2016) DOI 10.1016/j.cviu.2016.03.012Background estimation in video consists in extracting a foreground-free image from a set of training frames. Moving and stationary objects may affect the background visibility, thus invalidating the assumption of many related literature where background is the temporal dominant data. In this paper, we present a temporal-spatial block-level approach for background estimation in video to cope with moving and stationary objects. First, a Temporal Analysis module obtains a compact representation of the training data by motion filtering and dimensionality reduction. Then, a threshold-free hierarchical clustering determines a set of candidates to represent the background for each spatial location (block). Second, a Spatial Analysis module iteratively reconstructs the background using these candidates. For each spatial location, multiple reconstruction hypotheses (paths) are explored to obtain its neighboring locations by enforcing inter-block similarities and intra-block homogeneity constraints in terms of color discontinuity, color dissimilarity and variability. The experimental results show that the proposed approach outperforms the related state-of-the-art over challenging video sequences in presence of moving and stationary objects.This work was partially supported by the Spanish Government (HAVideo, TEC2014-53176-R) and by the TEC department (Universidad Autónoma de Madrid).Elsevier B.V.Departamento de Tecnología Electrónica y de las ComunicacionesEscuela Politécnica SuperiorTratamiento e Interpretación de Vídeo (ING EPS-006)20162016-06-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/675251https://dx.doi.org/10.1016/j.cviu.2016.03.012reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6752512026-06-23T12:46:27Z
dc.title.none.fl_str_mv Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
title Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
spellingShingle Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
Ortego Hernández, Diego
Background estimation
Background visibility
Clustering
Multipath
Smoothness
Stationary foreground
Telecomunicaciones
title_short Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
title_full Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
title_fullStr Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
title_full_unstemmed Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
title_sort Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
dc.creator.none.fl_str_mv Ortego Hernández, Diego
San Miguel Avedillo, Juan Carlos
Martínez Sánchez, José María
author Ortego Hernández, Diego
author_facet Ortego Hernández, Diego
San Miguel Avedillo, Juan Carlos
Martínez Sánchez, José María
author_role author
author2 San Miguel Avedillo, Juan Carlos
Martínez Sánchez, José María
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Tecnología Electrónica y de las Comunicaciones
Escuela Politécnica Superior
Tratamiento e Interpretación de Vídeo (ING EPS-006)
dc.subject.none.fl_str_mv Background estimation
Background visibility
Clustering
Multipath
Smoothness
Stationary foreground
Telecomunicaciones
topic Background estimation
Background visibility
Clustering
Multipath
Smoothness
Stationary foreground
Telecomunicaciones
description This is the author’s version of a work that was accepted for publication in Computer Vision and Image Understanding. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Vision and Image Understanding, VOL147 (2016) DOI 10.1016/j.cviu.2016.03.012
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-06-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/675251
https://dx.doi.org/10.1016/j.cviu.2016.03.012
url http://hdl.handle.net/10486/675251
https://dx.doi.org/10.1016/j.cviu.2016.03.012
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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