Real-time human segmentation in infrared videos

In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective...

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Detalhes bibliográficos
Autores: Maldonado Bascón, Saturnino, Serrano Cuerda, Juan, Fernández Caballero, Antonio, Castillo Montoya, José Carlos
Formato: artículo
Fecha de publicación:2011
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/2119
Acesso em linha:http://hdl.handle.net/10578/2119
Access Level:acceso abierto
Palavra-chave:Ingenierías
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spelling Real-time human segmentation in infrared videosMaldonado Bascón, SaturninoSerrano Cuerda, JuanFernández Caballero, AntonioCastillo Montoya, José CarlosIngenieríasIn this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width.201220122011info:eu-repo/semantics/articletext/plainapplication/pdfhttp://hdl.handle.net/10578/2119reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaEspañolinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/21192026-05-27T07:36:41Z
dc.title.none.fl_str_mv Real-time human segmentation in infrared videos
title Real-time human segmentation in infrared videos
spellingShingle Real-time human segmentation in infrared videos
Maldonado Bascón, Saturnino
Ingenierías
title_short Real-time human segmentation in infrared videos
title_full Real-time human segmentation in infrared videos
title_fullStr Real-time human segmentation in infrared videos
title_full_unstemmed Real-time human segmentation in infrared videos
title_sort Real-time human segmentation in infrared videos
dc.creator.none.fl_str_mv Maldonado Bascón, Saturnino
Serrano Cuerda, Juan
Fernández Caballero, Antonio
Castillo Montoya, José Carlos
author Maldonado Bascón, Saturnino
author_facet Maldonado Bascón, Saturnino
Serrano Cuerda, Juan
Fernández Caballero, Antonio
Castillo Montoya, José Carlos
author_role author
author2 Serrano Cuerda, Juan
Fernández Caballero, Antonio
Castillo Montoya, José Carlos
author2_role author
author
author
dc.subject.none.fl_str_mv Ingenierías
topic Ingenierías
description In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width.
publishDate 2011
dc.date.none.fl_str_mv 2011
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10578/2119
url http://hdl.handle.net/10578/2119
dc.language.none.fl_str_mv Español
language_invalid_str_mv Español
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/plain
application/pdf
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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