Object localisation and tracking through subsymbolic classification
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
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/1/663 |
Resumo: | This paper presents results of experiments in subsymbolic processing of visual data, to achieve identification and tracking of arbitrary objects, which are intended to be used in autonomous robots for novelty detection and navigation purposes. Artificial neural networks with unsupervised training are used as the classification stage for the vision system, in order to provide the robot the ability to develop its own representations from perceptual data without the need of any external human-provided information. We present an evaluation of the behaviour of the system when using very simple feature extraction techniques, such as horizontal and vertical average histograms, as well as average coarse coding. |
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2013-11-28T14:33:15Z2003VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Object localisation and tracking through subsymbolic classification. In: SYMPOSIUM ON BIOLOGICALLY-INSPIRED MACHINE VISION, THEORY AND APPLICATION, 3., 2003, Aberystwyth. Anais eletrônicos… Aberystwyth, 2003. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.6253&rep=rep1&type=pdf>. Acesso em: 16 jul. 2013.http://repositorio.utfpr.edu.br/jspui/handle/1/663This paper presents results of experiments in subsymbolic processing of visual data, to achieve identification and tracking of arbitrary objects, which are intended to be used in autonomous robots for novelty detection and navigation purposes. Artificial neural networks with unsupervised training are used as the classification stage for the vision system, in order to provide the robot the ability to develop its own representations from perceptual data without the need of any external human-provided information. We present an evaluation of the behaviour of the system when using very simple feature extraction techniques, such as horizontal and vertical average histograms, as well as average coarse coding.5000engSymposium on Biologically-Inspired Machine Vision, Theory and Applicationhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.6253&rep=rep1&type=pdfRobôs móveisVisão por computadorRedes neurais (Computação)Mobile robotsComputer visionNeural networks (Computer science)Object localisation and tracking through subsymbolic classificationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCuritibaVieira Neto, HugoNehmzow, Ulrichreponame:Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))instname:Universidade Tecnológica Federal do Paraná (UTFPR)instacron:UTFPRinfo:eu-repo/semantics/openAccessTHUMBNAILAISB_Vieira Neto, Hugo_2003.pdf.jpgAISB_Vieira Neto, Hugo_2003.pdf.jpgGenerated Thumbnailimage/jpeg1592http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/663/4/AISB_Vieira%20Neto%2c%20Hugo_2003.pdf.jpg856f881f9b4460f94cacd88c0bbda359MD54ORIGINALAISB_Vieira Neto, Hugo_2003.pdfAISB_Vieira Neto, Hugo_2003.pdfapplication/pdf306598http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/663/1/AISB_Vieira%20Neto%2c%20Hugo_2003.pdf8f315af273de77babd94aefefe188084MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81220http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/663/2/license.txt3cbdb04c3d289deb9dca129a3870a6e1MD52TEXTAISB_Vieira Neto, Hugo_2003.pdf.txtAISB_Vieira Neto, Hugo_2003.pdf.txtExtracted texttext/plain18262http://repositorio.utfpr.edu.br:8080/jspui/bitstream/1/663/3/AISB_Vieira%20Neto%2c%20Hugo_2003.pdf.txt8605c9531d05b89af9fb84eff38c9f71MD531/6632015-03-07 03:12:29.526oai:repositorio.utfpr.edu.br:1/663ICBOYSBxdWFsaWRhZGUgZGUgdGl0dWxhciBkb3MgZGlyZWl0b3MgZGUgYXV0b3IgZGEgcHVibGljYT8/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:2015-03-07T06:12:29Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) - Universidade Tecnológica Federal do Paraná (UTFPR)false |
dc.title.pt_BR.fl_str_mv |
Object localisation and tracking through subsymbolic classification |
title |
Object localisation and tracking through subsymbolic classification |
spellingShingle |
Object localisation and tracking through subsymbolic classification Vieira Neto, Hugo Robôs móveis Visão por computador Redes neurais (Computação) Mobile robots Computer vision Neural networks (Computer science) |
title_short |
Object localisation and tracking through subsymbolic classification |
title_full |
Object localisation and tracking through subsymbolic classification |
title_fullStr |
Object localisation and tracking through subsymbolic classification |
title_full_unstemmed |
Object localisation and tracking through subsymbolic classification |
title_sort |
Object localisation and tracking through subsymbolic classification |
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 móveis Visão por computador Redes neurais (Computação) Mobile robots Computer vision Neural networks (Computer science) |
topic |
Robôs móveis Visão por computador Redes neurais (Computação) Mobile robots Computer vision Neural networks (Computer science) |
description |
This paper presents results of experiments in subsymbolic processing of visual data, to achieve identification and tracking of arbitrary objects, which are intended to be used in autonomous robots for novelty detection and navigation purposes. Artificial neural networks with unsupervised training are used as the classification stage for the vision system, in order to provide the robot the ability to develop its own representations from perceptual data without the need of any external human-provided information. We present an evaluation of the behaviour of the system when using very simple feature extraction techniques, such as horizontal and vertical average histograms, as well as average coarse coding. |
publishDate |
2003 |
dc.date.issued.fl_str_mv |
2003 |
dc.date.accessioned.fl_str_mv |
2013-11-28T14:33:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Object localisation and tracking through subsymbolic classification. In: SYMPOSIUM ON BIOLOGICALLY-INSPIRED MACHINE VISION, THEORY AND APPLICATION, 3., 2003, Aberystwyth. Anais eletrônicos… Aberystwyth, 2003. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.6253&rep=rep1&type=pdf>. Acesso em: 16 jul. 2013. |
dc.identifier.uri.fl_str_mv |
http://repositorio.utfpr.edu.br/jspui/handle/1/663 |
identifier_str_mv |
VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Object localisation and tracking through subsymbolic classification. In: SYMPOSIUM ON BIOLOGICALLY-INSPIRED MACHINE VISION, THEORY AND APPLICATION, 3., 2003, Aberystwyth. Anais eletrônicos… Aberystwyth, 2003. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.6253&rep=rep1&type=pdf>. Acesso em: 16 jul. 2013. |
url |
http://repositorio.utfpr.edu.br/jspui/handle/1/663 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Symposium on Biologically-Inspired Machine Vision, Theory and Application |
dc.relation.uri.pt_BR.fl_str_mv |
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.6253&rep=rep1&type=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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