Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2012, Article ID 519146, 9 pages
http://dx.doi.org/10.1100/2012/519146
Research Article

A Synchronized Multipoint Vision-Based System for Displacement Measurement of Civil Infrastructures

1Department of Civil and Environmental Engineering, Sejong University, Seoul 143-747, Republic of Korea
2Research and Engineering Division, POSCO E&C, Incheon 406-732, Republic of Korea

Received 11 June 2012; Accepted 5 August 2012

Academic Editors: D. Choudhury and Q. Q. Liang

Copyright © 2012 Hoai-Nam Ho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [13 citations]

The following is the list of published articles that have cited the current article.

  • Walberto Marrugo, Enrique Sierra, Jose Marrugo, Carlos Camacho, Lenny A. Romero, and Andres G. Marrugo, “A vision-based system for the dynamic measurement of in-plane displacements,” 2014 III International Congress of Engineering Mechatronics and Automation (CIIMA), pp. 1–3, . View at Publisher · View at Google Scholar
  • Maria Q. Feng, Yoshio Fukuda, Dongming Feng, and Masato Mizuta, “Nontarget Vision Sensor for Remote Measurement of Bridge Dynamic Response,” Journal Of Bridge Engineering, vol. 20, no. 12, 2015. View at Publisher · View at Google Scholar
  • Jae-Hyung Park, Thanh-Canh Huynh, Sang-Hoon Choi, and Jeong-Tae Kim, “Vision-based technique for bolt-loosening detection in wind turbine tower,” Wind and Structures, An International Journal, vol. 21, no. 6, pp. 709–726, 2015. View at Publisher · View at Google Scholar
  • Ye, Dong, and Liu, “Image-based structural dynamic displacement measurement using different multi-object tracking algorithms,” Smart Structures and Systems, vol. 17, no. 6, pp. 935–956, 2016. View at Publisher · View at Google Scholar
  • Junhee Kim, Chan-Soo Park, and Kyung-Won Min, “Fast Vision-based Wave Height Measurement for Dynamic Characterization of Tuned Liquid Column Dampers,” Measurement, 2016. View at Publisher · View at Google Scholar
  • Insub Choi, JunHee Kim, and Donghyun Kim, “A Target-Less Vision-Based Displacement Sensor Based on Image Convex Hull Optimization for Measuring the Dynamic Response of Building Structures,” Sensors, vol. 16, no. 12, pp. 2085, 2016. View at Publisher · View at Google Scholar
  • Ye, Dong, and Liu, “A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications,” Journal of Sensors, vol. 2016, 2016. View at Publisher · View at Google Scholar
  • Kyung-Won Min, Seok-Jung Jang, and Junhee Kim, “A Standalone Vision Sensing System for Pseudodynamic Testing of Tuned Liquid Column Dampers,” Journal of Sensors, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Dongming Feng, and Maria Q. Feng, “Experimental validation of cost-effective vision-based structural health monitoring,” Mechanical Systems and Signal Processing, vol. 88, pp. 199–211, 2017. View at Publisher · View at Google Scholar
  • Dongming Feng, Thomas Scarangello, Maria Q. Feng, and Qi Ye, “Cable tension force estimate using novel noncontact vision-based sensor,” Measurement, vol. 99, pp. 44–52, 2017. View at Publisher · View at Google Scholar
  • Yan Xu, and James M. W. Brownjohn, “Review of machine-vision based methodologies for displacement measurement in civil structures,” Journal of Civil Structural Health Monitoring, 2017. View at Publisher · View at Google Scholar
  • Byung-Wan Jo, Yun-Sung Lee, Jun Jo, and Rana Khan, “Computer Vision-Based Bridge Displacement Measurements Using Rotation-Invariant Image Processing Technique,” Sustainability, vol. 10, no. 6, pp. 1785, 2018. View at Publisher · View at Google Scholar
  • Dongming Feng, and Maria Q. Feng, “Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review,” Engineering Structures, vol. 156, pp. 105–117, 2018. View at Publisher · View at Google Scholar