Enhancing real-time human detection based on histograms of oriented gradients

In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square-blocks. This novel method outperforms the integral of oriented histograms a...

ver descrição completa

Detalhes bibliográficos
Autores: Perdersoli, Marco, Gonzàlez, Jordi, Chakraborty, Bhaskar, Villanueva, Juan J.
Tipo de documento: capítulo de livro
Data de publicação:2007
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/2675
Acesso em linha:https://hdl.handle.net/2117/2675
Access Level:Acceso aberto
Palavra-chave:Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
id ES_2a45bffdccccf4f415e56d1475fdea79
oai_identifier_str oai:upcommons.upc.edu:2117/2675
network_acronym_str ES
network_name_str España
repository_id_str
spelling Enhancing real-time human detection based on histograms of oriented gradientsPerdersoli, MarcoGonzàlez, JordiChakraborty, BhaskarVillanueva, Juan J.Computer visionVisió per ordinadorClassificació INSPEC::Pattern recognition::Computer visionÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeoIn this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square-blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a real-time human classifier with an excellent detection rate.Peer ReviewedSpringer20072007-01-0120092009-03-13book parthttp://purl.org/coar/resource_type/c_3248NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/2675reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/26752026-05-27T15:37:01Z
dc.title.none.fl_str_mv Enhancing real-time human detection based on histograms of oriented gradients
title Enhancing real-time human detection based on histograms of oriented gradients
spellingShingle Enhancing real-time human detection based on histograms of oriented gradients
Perdersoli, Marco
Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
title_short Enhancing real-time human detection based on histograms of oriented gradients
title_full Enhancing real-time human detection based on histograms of oriented gradients
title_fullStr Enhancing real-time human detection based on histograms of oriented gradients
title_full_unstemmed Enhancing real-time human detection based on histograms of oriented gradients
title_sort Enhancing real-time human detection based on histograms of oriented gradients
dc.creator.none.fl_str_mv Perdersoli, Marco
Gonzàlez, Jordi
Chakraborty, Bhaskar
Villanueva, Juan J.
author Perdersoli, Marco
author_facet Perdersoli, Marco
Gonzàlez, Jordi
Chakraborty, Bhaskar
Villanueva, Juan J.
author_role author
author2 Gonzàlez, Jordi
Chakraborty, Bhaskar
Villanueva, Juan J.
author2_role author
author
author
dc.subject.none.fl_str_mv Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
topic Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
description In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square-blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a real-time human classifier with an excellent detection rate.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01
2009
2009-03-13
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/2675
url https://hdl.handle.net/2117/2675
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 Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405058794258432
score 15,300719

Registros relacionados