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...
- 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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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 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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info:eu-repo/semantics/conferenceObject |
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info:eu-repo/semantics/publishedVersion |
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Conferencia |
status_str |
publishedVersion |
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 |
dc.identifier.orcid.none.fl_str_mv |
56682831600 56682678200 56682774900 56682648200 36142156300 24329839300 |
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 56682831600 56682678200 56682774900 56682648200 36142156300 24329839300 |
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 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/restrictedAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
eu_rights_str_mv |
restrictedAccess |
dc.format.medium.none.fl_str_mv |
Recurso electrónico |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
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. |
dc.source.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930987033&doi=10.1109%2fCIIMA.2014.6983467&partnerID=40&md5=086cc9ff00f3ebb2803f5758b33dbbea Scopus2-s2.0-84930987033 |
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2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 |
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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 |