Skin detection by dual maximization of detectors agreement for video monitoring

This is the author’s version of a work that was accepted for publication in Journal Pattern Recognition Letters. 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...

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Detalles Bibliográficos
Autores: San Miguel Avedillo, Juan Carlos, Suja Garrido, Sergio
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/666435
Acceso en línea:http://hdl.handle.net/10486/666435
https://dx.doi.org/10.1016/j.patrec.2013.07.016
Access Level:acceso abierto
Palabra clave:Color space selection
Detector adaptation
Performance optimization
Skin detection
Informática
Telecomunicaciones
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spelling Skin detection by dual maximization of detectors agreement for video monitoringSan Miguel Avedillo, Juan CarlosSuja Garrido, SergioColor space selectionDetector adaptationPerformance optimizationSkin detectionInformáticaTelecomunicacionesThis is the author’s version of a work that was accepted for publication in Journal Pattern Recognition Letters. 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 Journal Pattern Recognition Letters, 34, 16 (2013) DOI: 10.1016/j.patrec.2013.07.016This paper presents an approach for skin detection which is able to adapt its parameters to image data captured from video monitoring tasks with a medium field of view. It is composed of two detectors designed to get high and low probable skin pixels (respectively, regions and isolated pixels). Each one is based on thresholding two color channels, which are dynamically selected. Adaptation is based on the agreement maximization framework, whose aim is to find the configuration with the highest similarity between the channel results. Moreover, we improve such framework by learning how detector parameters are related and proposing an agreement function to consider expected skin properties. Finally, both detectors are combined by morphological reconstruction filtering to keep the skin regions whilst removing wrongly detected regions. The proposed approach is evaluated on heterogeneous human activity recognition datasets outperforming the most relevant state-of-the-art approaches.This work has been partially supported by the Spanish Government (TEC2011-25995 EventVideo).Elsevier BVDepartamento de Tecnología Electrónica y de las ComunicacionesEscuela Politécnica SuperiorLaboratorio de Tecnología Hombre-Computador (ING EPS-010)20132013-12-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/666435https://dx.doi.org/10.1016/j.patrec.2013.07.016reponame: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:10486/6664352026-06-23T12:46:27Z
dc.title.none.fl_str_mv Skin detection by dual maximization of detectors agreement for video monitoring
title Skin detection by dual maximization of detectors agreement for video monitoring
spellingShingle Skin detection by dual maximization of detectors agreement for video monitoring
San Miguel Avedillo, Juan Carlos
Color space selection
Detector adaptation
Performance optimization
Skin detection
Informática
Telecomunicaciones
title_short Skin detection by dual maximization of detectors agreement for video monitoring
title_full Skin detection by dual maximization of detectors agreement for video monitoring
title_fullStr Skin detection by dual maximization of detectors agreement for video monitoring
title_full_unstemmed Skin detection by dual maximization of detectors agreement for video monitoring
title_sort Skin detection by dual maximization of detectors agreement for video monitoring
dc.creator.none.fl_str_mv San Miguel Avedillo, Juan Carlos
Suja Garrido, Sergio
author San Miguel Avedillo, Juan Carlos
author_facet San Miguel Avedillo, Juan Carlos
Suja Garrido, Sergio
author_role author
author2 Suja Garrido, Sergio
author2_role author
dc.contributor.none.fl_str_mv Departamento de Tecnología Electrónica y de las Comunicaciones
Escuela Politécnica Superior
Laboratorio de Tecnología Hombre-Computador (ING EPS-010)
dc.subject.none.fl_str_mv Color space selection
Detector adaptation
Performance optimization
Skin detection
Informática
Telecomunicaciones
topic Color space selection
Detector adaptation
Performance optimization
Skin detection
Informática
Telecomunicaciones
description This is the author’s version of a work that was accepted for publication in Journal Pattern Recognition Letters. 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 Journal Pattern Recognition Letters, 34, 16 (2013) DOI: 10.1016/j.patrec.2013.07.016
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-12-01
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/10486/666435
https://dx.doi.org/10.1016/j.patrec.2013.07.016
url http://hdl.handle.net/10486/666435
https://dx.doi.org/10.1016/j.patrec.2013.07.016
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
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dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
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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