Visual novelty detection with automatic scale selection
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) |
Texto Completo: | http://repositorio.utfpr.edu.br/jspui/handle/1/647 |
Resumo: | This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two different attention mechanisms — saliency map and multi-scale Harris detector — and two different novelty detection mechanisms — Grow-When-Required (GWR) neural network and an incremental Principal Component Analysis (PCA). For all mechanisms we compared fixed-scale image encoding with automatically scaled image patches. Results show that automatic scale selection provides a more efficient representation of the visual input space, but that performance is generally better using a fixed-scale image encoding. |
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2013-11-19T15:11:05Z2013-11-19T15:11:05Z2007-05VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Visual novelty detection with automatic scale selection. Robotics and Autonomous Systems, v. 55, n. 9, p. 693-701, maio 2007. Disponível em: <http://dces.essex.ac.uk/staff/udfn/ftp/ras55.pdf>. Acesso em: 15 jul. 2013.0921-8890http://repositorio.utfpr.edu.br/jspui/handle/1/647This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two different attention mechanisms — saliency map and multi-scale Harris detector — and two different novelty detection mechanisms — Grow-When-Required (GWR) neural network and an incremental Principal Component Analysis (PCA). For all mechanisms we compared fixed-scale image encoding with automatically scaled image patches. Results show that automatic scale selection provides a more efficient representation of the visual input space, but that performance is generally better using a fixed-scale image encoding.engRobotics and Autonomous Systemshttp://dces.essex.ac.uk/staff/udfn/ftp/ras55.pdfO autor pode arquivar a versão preprint. O autor pode arquivar a versão postprint . O autor não pode arquivar a versão/PDF do editor. Disponível em: <http://www.sherpa.ac.uk/romeo/issn/0921-8890/pt/>. Acesso em: 17 jul. 2013.info:eu-repo/semantics/openAccessRobôsRobóticaVisão por computadorRedes neurais (Computação)RobotsRoboticsComputer visionNeural networks (Computer science)Visual novelty detection with automatic scale selectioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCuritibaVieira Neto, HugoNehmzow, Ulrichreponame:Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))instname:Universidade Tecnológica Federal do Paraná (UTFPR)instacron:UTFPRTHUMBNAILROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdf.jpgROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdf.jpgGenerated Thumbnailimage/jpeg1426http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/647/4/ROBOT.%20AUTON.%20SYST._Vieira%20Neto%2c%20Hugo_2007.pdf.jpg2be05e882a5adab8178055779f17ba0aMD54ORIGINALROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdfROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdfapplication/pdf667739http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/647/1/ROBOT.%20AUTON.%20SYST._Vieira%20Neto%2c%20Hugo_2007.pdf092b756388b2a389fa00bbc251cfc1cdMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81220http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/647/2/license.txt3cbdb04c3d289deb9dca129a3870a6e1MD52TEXTROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdf.txtROBOT. AUTON. SYST._Vieira Neto, Hugo_2007.pdf.txtExtracted texttext/plain38543http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/647/3/ROBOT.%20AUTON.%20SYST._Vieira%20Neto%2c%20Hugo_2007.pdf.txt26d365ed49c43a7fcfc611fc23860693MD531/6472015-03-07 03:12:26.255oai:repositorio.utfpr.edu.br:1/647ICBOYSBxdWFsaWRhZGUgZGUgdGl0dWxhciBkb3MgZGlyZWl0b3MgZGUgYXV0b3IgZGEgcHVibGljYT8/bywgYXV0b3Jpem8gYSBVVEZQUiBhIHZlaWN1bGFyLCAKYXRyYXY/cyBkbyBQb3J0YWwgZGUgSW5mb3JtYT8/byBlbSBBY2Vzc28gQWJlcnRvIChQSUFBKSBlIGRvcyBDYXQ/bG9nb3MgZGFzIEJpYmxpb3RlY2FzIApkZXN0YSBJbnN0aXR1aT8/bywgc2VtIHJlc3NhcmNpbWVudG8gZG9zIGRpcmVpdG9zIGF1dG9yYWlzLCBkZSBhY29yZG8gY29tIGEgTGVpIG5vIDkuNjEwLzk4LCAKbyB0ZXh0byBkZXN0YSBvYnJhLCBvYnNlcnZhbmRvIGFzIGNvbmRpPz9lcyBkZSBkaXNwb25pYmlsaXphPz9vIHJlZ2lzdHJhZGFzIG5vIGl0ZW0gNCBkbyAKP1Rlcm1vIGRlIEF1dG9yaXphPz9vIHBhcmEgUHVibGljYT8/byBkZSBUcmFiYWxob3MgZGUgQ29uY2x1cz9vIGRlIEN1cnNvIGRlIEdyYWR1YT8/byBlIApFc3BlY2lhbGl6YT8/bywgRGlzc2VydGE/P2VzIGUgVGVzZXMgbm8gUG9ydGFsIGRlIEluZm9ybWE/P28gZSBub3MgQ2F0P2xvZ29zIEVsZXRyP25pY29zIGRvIApTaXN0ZW1hIGRlIEJpYmxpb3RlY2FzIGRhIFVURlBSPywgcGFyYSBmaW5zIGRlIGxlaXR1cmEsIGltcHJlc3M/byBlL291IGRvd25sb2FkLCB2aXNhbmRvIGEgCmRpdnVsZ2E/P28gZGEgcHJvZHU/P28gY2llbnQ/ZmljYSBicmFzaWxlaXJhLgoKICBBcyB2aWFzIG9yaWdpbmFpcyBlIGFzc2luYWRhcyBwZWxvKHMpIGF1dG9yKGVzKSBkbyA/VGVybW8gZGUgQXV0b3JpemE/P28gcGFyYSBQdWJsaWNhPz9vIGRlIApUcmFiYWxob3MgZGUgQ29uY2x1cz9vIGRlIEN1cnNvIGRlIEdyYWR1YT8/byBlIEVzcGVjaWFsaXphPz9vLCBEaXNzZXJ0YT8/ZXMgZSBUZXNlcyBubyBQb3J0YWwgCmRlIEluZm9ybWE/P28gZSBub3MgQ2F0P2xvZ29zIEVsZXRyP25pY29zIGRvIFNpc3RlbWEgZGUgQmlibGlvdGVjYXMgZGEgVVRGUFI/IGUgZGEgP0RlY2xhcmE/P28gCmRlIEF1dG9yaWE/IGVuY29udHJhbS1zZSBhcnF1aXZhZGFzIG5hIEJpYmxpb3RlY2EgZG8gQz9tcHVzIG5vIHF1YWwgbyB0cmFiYWxobyBmb2kgZGVmZW5kaWRvLiAKTm8gY2FzbyBkZSBwdWJsaWNhPz9lcyBkZSBhdXRvcmlhIGNvbGV0aXZhIGUgbXVsdGljP21wdXMsIG9zIGRvY3VtZW50b3MgZmljYXI/byBzb2IgZ3VhcmRhIGRhIApCaWJsaW90ZWNhIGNvbSBhIHF1YWwgbyA/cHJpbWVpcm8gYXV0b3I/IHBvc3N1YSB2P25jdWxvLgo=Repositório de PublicaçõesPUBhttp://repositorio.utfpr.edu.br:8080/oai/requestopendoar:2015-03-07T06:12:26Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) - Universidade Tecnológica Federal do Paraná (UTFPR)false |
dc.title.pt_BR.fl_str_mv |
Visual novelty detection with automatic scale selection |
title |
Visual novelty detection with automatic scale selection |
spellingShingle |
Visual novelty detection with automatic scale selection Vieira Neto, Hugo Robôs Robótica Visão por computador Redes neurais (Computação) Robots Robotics Computer vision Neural networks (Computer science) |
title_short |
Visual novelty detection with automatic scale selection |
title_full |
Visual novelty detection with automatic scale selection |
title_fullStr |
Visual novelty detection with automatic scale selection |
title_full_unstemmed |
Visual novelty detection with automatic scale selection |
title_sort |
Visual novelty detection with automatic scale selection |
author |
Vieira Neto, Hugo |
author_facet |
Vieira Neto, Hugo Nehmzow, Ulrich |
author_role |
author |
author2 |
Nehmzow, Ulrich |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Vieira Neto, Hugo Nehmzow, Ulrich |
dc.subject.por.fl_str_mv |
Robôs Robótica Visão por computador Redes neurais (Computação) Robots Robotics Computer vision Neural networks (Computer science) |
topic |
Robôs Robótica Visão por computador Redes neurais (Computação) Robots Robotics Computer vision Neural networks (Computer science) |
description |
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two different attention mechanisms — saliency map and multi-scale Harris detector — and two different novelty detection mechanisms — Grow-When-Required (GWR) neural network and an incremental Principal Component Analysis (PCA). For all mechanisms we compared fixed-scale image encoding with automatically scaled image patches. Results show that automatic scale selection provides a more efficient representation of the visual input space, but that performance is generally better using a fixed-scale image encoding. |
publishDate |
2007 |
dc.date.issued.fl_str_mv |
2007-05 |
dc.date.accessioned.fl_str_mv |
2013-11-19T15:11:05Z |
dc.date.available.fl_str_mv |
2013-11-19T15:11:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Visual novelty detection with automatic scale selection. Robotics and Autonomous Systems, v. 55, n. 9, p. 693-701, maio 2007. Disponível em: <http://dces.essex.ac.uk/staff/udfn/ftp/ras55.pdf>. Acesso em: 15 jul. 2013. |
dc.identifier.uri.fl_str_mv |
http://repositorio.utfpr.edu.br/jspui/handle/1/647 |
dc.identifier.issn.none.fl_str_mv |
0921-8890 |
identifier_str_mv |
VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Visual novelty detection with automatic scale selection. Robotics and Autonomous Systems, v. 55, n. 9, p. 693-701, maio 2007. Disponível em: <http://dces.essex.ac.uk/staff/udfn/ftp/ras55.pdf>. Acesso em: 15 jul. 2013. 0921-8890 |
url |
http://repositorio.utfpr.edu.br/jspui/handle/1/647 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Robotics and Autonomous Systems |
dc.relation.uri.pt_BR.fl_str_mv |
http://dces.essex.ac.uk/staff/udfn/ftp/ras55.pdf |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Curitiba |
publisher.none.fl_str_mv |
Curitiba |
dc.source.none.fl_str_mv |
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UTFPR |
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UTFPR |
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