Unidimensional multiscale local features for object detection under rotation and mild occlusions

In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusio...

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Detalles Bibliográficos
Autores: Villamizar Vergel, Michael Alejandro, Sanfeliu Cortés, Alberto|||0000-0003-3868-9678, Andrade-Cetto, Juan|||0000-0002-6354-8941
Tipo de recurso: capítulo de libro
Fecha de publicación:2007
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/2683
Acceso en línea:https://hdl.handle.net/2117/2683
Access Level:acceso abierto
Palabra clave: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
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oai_identifier_str oai:upcommons.upc.edu:2117/2683
network_acronym_str ES
network_name_str España
repository_id_str
spelling Unidimensional multiscale local features for object detection under rotation and mild occlusionsVillamizar Vergel, Michael AlejandroSanfeliu Cortés, Alberto|||0000-0003-3868-9678Andrade-Cetto, Juan|||0000-0002-6354-8941Computer 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 article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusions. Local features over the object histogram are extracted during a Boosting learning phase, selecting the most discriminant features within a training histogram image set. The Integral Histogram has been used to compute local histograms in constant time.Peer ReviewedSpringer Verlag20072007-01-0120092009-03-13book parthttp://purl.org/coar/resource_type/c_3248NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/2683reponame: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:2117/26832026-05-27T15:37:01Z
dc.title.none.fl_str_mv Unidimensional multiscale local features for object detection under rotation and mild occlusions
title Unidimensional multiscale local features for object detection under rotation and mild occlusions
spellingShingle Unidimensional multiscale local features for object detection under rotation and mild occlusions
Villamizar Vergel, Michael Alejandro
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 Unidimensional multiscale local features for object detection under rotation and mild occlusions
title_full Unidimensional multiscale local features for object detection under rotation and mild occlusions
title_fullStr Unidimensional multiscale local features for object detection under rotation and mild occlusions
title_full_unstemmed Unidimensional multiscale local features for object detection under rotation and mild occlusions
title_sort Unidimensional multiscale local features for object detection under rotation and mild occlusions
dc.creator.none.fl_str_mv Villamizar Vergel, Michael Alejandro
Sanfeliu Cortés, Alberto|||0000-0003-3868-9678
Andrade-Cetto, Juan|||0000-0002-6354-8941
author Villamizar Vergel, Michael Alejandro
author_facet Villamizar Vergel, Michael Alejandro
Sanfeliu Cortés, Alberto|||0000-0003-3868-9678
Andrade-Cetto, Juan|||0000-0002-6354-8941
author_role author
author2 Sanfeliu Cortés, Alberto|||0000-0003-3868-9678
Andrade-Cetto, Juan|||0000-0002-6354-8941
author2_role 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 article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusions. Local features over the object histogram are extracted during a Boosting learning phase, selecting the most discriminant features within a training histogram image set. The Integral Histogram has been used to compute local histograms in constant time.
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/2117/2683
url https://hdl.handle.net/2117/2683
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 Verlag
publisher.none.fl_str_mv Springer Verlag
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_ 1869404508137717760
score 15.300724

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