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A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments
Computer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision def...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144850/ https://www.ncbi.nlm.nih.gov/pubmed/35632197 http://dx.doi.org/10.3390/s22103789 |
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author | Zhuang, Yizhou Chen, Weimin Jin, Tao Chen, Bin Zhang, He Zhang, Wen |
author_facet | Zhuang, Yizhou Chen, Weimin Jin, Tao Chen, Bin Zhang, He Zhang, Wen |
author_sort | Zhuang, Yizhou |
collection | PubMed |
description | Computer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision deformation monitoring systems towards developing long-term stable monitoring in field environments. The major contribution of this paper was to analyze the influence mechanism of the measuring accuracy of computer vision deformation monitoring systems from two perspectives, the physical impact, and target tracking algorithm impact, and provide the existing solutions. Physical impact included the hardware impact and the environmental impact, while the target tracking algorithm impact included image preprocessing, measurement efficiency and accuracy. The applicability and limitations of computer vision monitoring algorithms were summarized. |
format | Online Article Text |
id | pubmed-9144850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91448502022-05-29 A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments Zhuang, Yizhou Chen, Weimin Jin, Tao Chen, Bin Zhang, He Zhang, Wen Sensors (Basel) Review Computer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision deformation monitoring systems towards developing long-term stable monitoring in field environments. The major contribution of this paper was to analyze the influence mechanism of the measuring accuracy of computer vision deformation monitoring systems from two perspectives, the physical impact, and target tracking algorithm impact, and provide the existing solutions. Physical impact included the hardware impact and the environmental impact, while the target tracking algorithm impact included image preprocessing, measurement efficiency and accuracy. The applicability and limitations of computer vision monitoring algorithms were summarized. MDPI 2022-05-16 /pmc/articles/PMC9144850/ /pubmed/35632197 http://dx.doi.org/10.3390/s22103789 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zhuang, Yizhou Chen, Weimin Jin, Tao Chen, Bin Zhang, He Zhang, Wen A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title | A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title_full | A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title_fullStr | A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title_full_unstemmed | A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title_short | A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments |
title_sort | review of computer vision-based structural deformation monitoring in field environments |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144850/ https://www.ncbi.nlm.nih.gov/pubmed/35632197 http://dx.doi.org/10.3390/s22103789 |
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