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/
Description
Summary: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.