Real-Time High Density People Counter Using Morphological Tools

This paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it's crowded, and background and/or illumination changes. The proposed system analyzes image sequences and p...

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Detalhes bibliográficos
Autores: Albiol Colomer, Antonio, Mora Jiménez, Inma, Naranjo, Valery
Formato: artículo
Fecha de publicación:2009
País:España
Recursos:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/2592
Acesso em linha:http://hdl.handle.net/10115/2592
Access Level:acceso abierto
Palavra-chave:Telecomunicaciones
3325 Tecnología de las Telecomunicaciones
1203.17 Informática
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spelling Real-Time High Density People Counter Using Morphological ToolsAlbiol Colomer, AntonioMora Jiménez, InmaNaranjo, ValeryTelecomunicaciones3325 Tecnología de las Telecomunicaciones1203.17 InformáticaThis paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it's crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper.Teoría de la Señal y Comunicaciones200920092009info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10115/2592reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlosinstname:Universidad Rey Juan CarlosInglésAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:burjcdigital.urjc.es:10115/25922026-06-24T12:48:17Z
dc.title.none.fl_str_mv Real-Time High Density People Counter Using Morphological Tools
title Real-Time High Density People Counter Using Morphological Tools
spellingShingle Real-Time High Density People Counter Using Morphological Tools
Albiol Colomer, Antonio
Telecomunicaciones
3325 Tecnología de las Telecomunicaciones
1203.17 Informática
title_short Real-Time High Density People Counter Using Morphological Tools
title_full Real-Time High Density People Counter Using Morphological Tools
title_fullStr Real-Time High Density People Counter Using Morphological Tools
title_full_unstemmed Real-Time High Density People Counter Using Morphological Tools
title_sort Real-Time High Density People Counter Using Morphological Tools
dc.creator.none.fl_str_mv Albiol Colomer, Antonio
Mora Jiménez, Inma
Naranjo, Valery
author Albiol Colomer, Antonio
author_facet Albiol Colomer, Antonio
Mora Jiménez, Inma
Naranjo, Valery
author_role author
author2 Mora Jiménez, Inma
Naranjo, Valery
author2_role author
author
dc.subject.none.fl_str_mv Telecomunicaciones
3325 Tecnología de las Telecomunicaciones
1203.17 Informática
topic Telecomunicaciones
3325 Tecnología de las Telecomunicaciones
1203.17 Informática
description This paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it's crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009
2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10115/2592
url http://hdl.handle.net/10115/2592
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname:Universidad Rey Juan Carlos
instname_str Universidad Rey Juan Carlos
reponame_str BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
collection BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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