Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classifi...

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Detalles Bibliográficos
Autores: Bosch Rué, Anna, Muñoz Pujol, Xavier, Martí Bonmatí, Joan
Tipo de recurso: artículo
Fecha de publicación:2005
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/2311
Acceso en línea:http://hdl.handle.net/10256/2311
Access Level:acceso abierto
Palabra clave:Discriminació visual
Imatges -- Processament
Imatges -- Segmentació
Reconeixement òptic de formes
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Optical pattern recognition
Visual discrimination
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repository_id_str
spelling Using appearance and context for outdoor scene object classificationBosch Rué, AnnaMuñoz Pujol, XavierMartí Bonmatí, JoanDiscriminació visualImatges -- ProcessamentImatges -- SegmentacióReconeixement òptic de formesVisió per ordinadorComputer visionImage processingImaging segmentationOptical pattern recognitionVisual discriminationWe propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposalIEEE2005info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10256/2311http://hdl.handle.net/10256/2311© IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 2005, vol. 2Articles publicats (D-ATC)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1109/ROBOT.2001.933043info:eu-repo/semantics/altIdentifier/issn/1050-4729info:eu-repo/semantics/altIdentifier/isbn/0-7803-6576-3Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/23112026-05-29T05:05:01Z
dc.title.none.fl_str_mv Using appearance and context for outdoor scene object classification
title Using appearance and context for outdoor scene object classification
spellingShingle Using appearance and context for outdoor scene object classification
Bosch Rué, Anna
Discriminació visual
Imatges -- Processament
Imatges -- Segmentació
Reconeixement òptic de formes
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Optical pattern recognition
Visual discrimination
title_short Using appearance and context for outdoor scene object classification
title_full Using appearance and context for outdoor scene object classification
title_fullStr Using appearance and context for outdoor scene object classification
title_full_unstemmed Using appearance and context for outdoor scene object classification
title_sort Using appearance and context for outdoor scene object classification
dc.creator.none.fl_str_mv Bosch Rué, Anna
Muñoz Pujol, Xavier
Martí Bonmatí, Joan
author Bosch Rué, Anna
author_facet Bosch Rué, Anna
Muñoz Pujol, Xavier
Martí Bonmatí, Joan
author_role author
author2 Muñoz Pujol, Xavier
Martí Bonmatí, Joan
author2_role author
author
dc.subject.none.fl_str_mv Discriminació visual
Imatges -- Processament
Imatges -- Segmentació
Reconeixement òptic de formes
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Optical pattern recognition
Visual discrimination
topic Discriminació visual
Imatges -- Processament
Imatges -- Segmentació
Reconeixement òptic de formes
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Optical pattern recognition
Visual discrimination
description We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal
publishDate 2005
dc.date.none.fl_str_mv 2005
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/2311
http://hdl.handle.net/10256/2311
url http://hdl.handle.net/10256/2311
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/ROBOT.2001.933043
info:eu-repo/semantics/altIdentifier/issn/1050-4729
info:eu-repo/semantics/altIdentifier/isbn/0-7803-6576-3
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv © IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 2005, vol. 2
Articles publicats (D-ATC)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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