A vision-based system for the dynamic measurement of in-plane displacements

Computer vision has advanced markedly in the last decade and has had new applications such as the analysis of the behavior of structures. The analysis of displacement and deformation of structures is an important process in Structural Health Monitoring (SHM). There are different techniques and devic...

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Autores:
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9048
Acceso en línea:
https://hdl.handle.net/20.500.12585/9048
Palabra clave:
Computer vision
Displacement measurement
Non-contact test
Remote sensing
Computer vision
Deformation
Economic and social effects
Remote sensing
Structural health monitoring
Global position systems
In-plane displacement
Linear variable differential transducers
Non-contact
Noncontact measurements
Off-the-shelf components
Structural health monitoring (SHM)
Vision-based methods
Displacement measurement
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv A vision-based system for the dynamic measurement of in-plane displacements
title A vision-based system for the dynamic measurement of in-plane displacements
spellingShingle A vision-based system for the dynamic measurement of in-plane displacements
Computer vision
Displacement measurement
Non-contact test
Remote sensing
Computer vision
Deformation
Economic and social effects
Remote sensing
Structural health monitoring
Global position systems
In-plane displacement
Linear variable differential transducers
Non-contact
Noncontact measurements
Off-the-shelf components
Structural health monitoring (SHM)
Vision-based methods
Displacement measurement
title_short A vision-based system for the dynamic measurement of in-plane displacements
title_full A vision-based system for the dynamic measurement of in-plane displacements
title_fullStr A vision-based system for the dynamic measurement of in-plane displacements
title_full_unstemmed A vision-based system for the dynamic measurement of in-plane displacements
title_sort A vision-based system for the dynamic measurement of in-plane displacements
dc.contributor.editor.none.fl_str_mv Marrugo A.G.
dc.subject.keywords.none.fl_str_mv Computer vision
Displacement measurement
Non-contact test
Remote sensing
Computer vision
Deformation
Economic and social effects
Remote sensing
Structural health monitoring
Global position systems
In-plane displacement
Linear variable differential transducers
Non-contact
Noncontact measurements
Off-the-shelf components
Structural health monitoring (SHM)
Vision-based methods
Displacement measurement
topic Computer vision
Displacement measurement
Non-contact test
Remote sensing
Computer vision
Deformation
Economic and social effects
Remote sensing
Structural health monitoring
Global position systems
In-plane displacement
Linear variable differential transducers
Non-contact
Noncontact measurements
Off-the-shelf components
Structural health monitoring (SHM)
Vision-based methods
Displacement measurement
description Computer vision has advanced markedly in the last decade and has had new applications such as the analysis of the behavior of structures. The analysis of displacement and deformation of structures is an important process in Structural Health Monitoring (SHM). There are different techniques and devices for measuring strains and displacements, such as linear-variable-differential-transducers (LVDTs) and the global position system (GPS), which can be expensive and may not provide sufficient accuracy. This paper proposes vision-based methods for non-contact measurement of displacements and deformations. These methods allow for accurate non-contact measurements at low cost using off-the-shelf components, basically a camera, a computer, and a target. In this work, we test propose a vision based method for the measurement of displacements and we discuss the trade-offs in terms of robustness, computational complexity and accuracy. Encouraging results show that the displacement of a structure can be both determined accurately and fast enough in real time. © 2014 IEEE.
publishDate 2014
dc.date.issued.none.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:32:50Z
dc.date.available.none.fl_str_mv 2020-03-26T16:32:50Z
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dc.identifier.citation.none.fl_str_mv 2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings
dc.identifier.isbn.none.fl_str_mv 9781479979325
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/9048
dc.identifier.doi.none.fl_str_mv 10.1109/CIIMA.2014.6983467
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
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identifier_str_mv 2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings
9781479979325
10.1109/CIIMA.2014.6983467
Universidad Tecnológica de Bolívar
Repositorio UTB
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url https://hdl.handle.net/20.500.12585/9048
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 22 October 2014 through 24 October 2014
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dc.format.medium.none.fl_str_mv Recurso electrónico
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dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
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spelling Marrugo A.G.Marrugo W.Sierra E.Marrugo J.Camacho C.Romero L.A.Marrugo A.G.2020-03-26T16:32:50Z2020-03-26T16:32:50Z20142014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings9781479979325https://hdl.handle.net/20.500.12585/904810.1109/CIIMA.2014.6983467Universidad Tecnológica de BolívarRepositorio UTB566828316005668267820056682774900566826482003614215630024329839300Computer vision has advanced markedly in the last decade and has had new applications such as the analysis of the behavior of structures. The analysis of displacement and deformation of structures is an important process in Structural Health Monitoring (SHM). There are different techniques and devices for measuring strains and displacements, such as linear-variable-differential-transducers (LVDTs) and the global position system (GPS), which can be expensive and may not provide sufficient accuracy. This paper proposes vision-based methods for non-contact measurement of displacements and deformations. These methods allow for accurate non-contact measurements at low cost using off-the-shelf components, basically a camera, a computer, and a target. In this work, we test propose a vision based method for the measurement of displacements and we discuss the trade-offs in terms of robustness, computational complexity and accuracy. Encouraging results show that the displacement of a structure can be both determined accurately and fast enough in real time. © 2014 IEEE.Universidad Tecnologica de BolivarRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930987033&doi=10.1109%2fCIIMA.2014.6983467&partnerID=40&md5=086cc9ff00f3ebb2803f5758b33dbbeaScopus2-s2.0-849309870332014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014A vision-based system for the dynamic measurement of in-plane displacementsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fComputer visionDisplacement measurementNon-contact testRemote sensingComputer visionDeformationEconomic and social effectsRemote sensingStructural health monitoringGlobal position systemsIn-plane displacementLinear variable differential transducersNon-contactNoncontact measurementsOff-the-shelf componentsStructural health monitoring (SHM)Vision-based methodsDisplacement measurement22 October 2014 through 24 October 2014Wahbeh, A.M., Caffrey, J.P., Masri, S.F., A vision-based approach for the direct measurement of displacements in vibrating systems (2003) Smart Materials and Structures, 12 (5), p. 785Lee, J.-J., Shinozuka, M., A vision-based system for remote sensing of bridge displacement (2006) NDT and e International, 39 (5), pp. 425-431. , JulYi, T.-H., Li, H.-N., Gu, M., Experimental assessment of highrate gps receivers for deformation monitoring of bridge (2013) Measurement VL, 46 (1), pp. 420-432. , JanChoi, H.-S., Cheung, J.-H., Kim, S.-H., Ahn, J.-H., Structural dynamic displacement vision system using digital image processing (2011) NDT and e International, 44 (7), pp. 597-608. , NovHo, H.-N., Lee, J.-H., Park, Y.-S., Lee, J.-J., A synchronized multipoint vision-based system for displacement measurement of civil infrastructures (2012) The Scientific World Journal, 2012 (3), pp. 1-9Lee, J.-J., Ho, H.-N., Lee, J.-H., A vision-based dynamic rotational angle measurement system for large civil structures (2012) Sensors, 12 (12), pp. 7326-7336. , Dechttp://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9048/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9048oai:repositorio.utb.edu.co:20.500.12585/90482021-02-02 15:10:44.667Repositorio Institucional UTBrepositorioutb@utb.edu.co