Browse > Article
http://dx.doi.org/10.11112/jksmi.2014.18.6.123

Vision-Based Displacement Measurement System Operable at Arbitrary Positions  

Lee, Jun-Hwa (울산과학기술대학교)
Cho, Soo-Jin (울산과학기술대학교 도시환경공학부)
Sim, Sung-Han (울산과학기술대학교 도시환경공학부)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.18, no.6, 2014 , pp. 123-130 More about this Journal
Abstract
In this study, a vision-based displacement measurement system is developed to accurately measure the displacement of a structure with locating the camera at arbitrary position. The previous vision-based system brings error when the optical axis of a camera has an angle with the measured structure, which limits the applicability at large structures. The developed system measures displacement by processing the images of a target plate that is attached on the measured position of a structure. To measure displacement regardless of the angle between the optical axis of the camera and the target plate, planar homography is employed to match two planes in image and world coordinate systems. To validate the performance of the present system, a laboratory test is carried out using a small 2-story shear building model. The result shows that the present system measures accurate displacement of the structure even with a camera significantly angled with the target plate.
Keywords
Vision-based displacement measurement system; Homography; Camera; Target plate;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Castellini, P., Martarelli, M., and Tomasini, E. P. (2006), Laser Doppler Vibrometry: Development of advanced solutions answering to technology's needs, Mechanical Systems and Signal Processing, 20(6), 1265-1285.   DOI
2 Fukuda, Y., Feng, M., Narita, Y., Kaneko, S. I., and Tanaka, T. (2013), Vision-based displacement sensor for monitoring dynamic response using robust object search algorithm, IEEE Sensors Journal, 13(12), 1928-1931.
3 Ji, Y. F. and Chang, C. C. (2008). Nontarget stereo vision technique for spatiotemporal response measurement of line-like structures, Journal of Engineering Mechanics, 134(6), 466-474.   DOI   ScienceOn
4 Jo, H., Sim, S. H., Tatkowski, A., Spencer, B. F., and Nelson, M. E. (2013), Feasibility of displacement monitoring using low-cost GPS receivers, Structural Control and Health Monitoring, 20(9), 1240-1254.   DOI
5 Kim, S. W., Jeon, B. G., Kim, N. S., and Park, J. C. (2013), Vision-based monitoring system for evaluating cable tensile forces on a cable-stayed bridge, Structural Health Monitoring, 12(5-6), 440-456.   DOI
6 Lee, H. S., Hong, Y. H., and Park, H. W. (2010), Design of an FIR filter for the displacement reconstruction using measured acceleration in low-frequency dominant structures, International Journal for Numerical Methods in Engineering, 82(4), 403-434.   DOI
7 Lee, J. J., and Shinozuka, M. (2006), A vision-based system for remote sensing of bridge displacement, Ndt & E International, 39(5), 425-431.   DOI   ScienceOn
8 Lee, J. J., Fukuda, Y., Shinozuka, M., Cho, S., and Yun, C. (2007), Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures, Smart Structures and Systems, 3(3), 373-384.   DOI   ScienceOn
9 Park, J. W., Sim, S. H., and Jung, H. J. (2013), Displacement estimation using multimetric data fusion, IEEE/ASME Trans, Mechatronics, 18(6), 1675-1682.   DOI
10 Tariq, H., Takamori, A., Vetrano, F., Wang, C., Bertolini, A., Calamai, G., DeSalvo, R., Gennai, A., Lolloway, L., Losurdo, G., Marka, S., Mazzoni, M., Paoletti, F., Passuellop, D., Sannibale, V., and Stanga, R. (2002), The linear variable differential transformer (LVDT) position sensor for gravitational wave interferometer low-frequency controls, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 489(1), 570-576.
11 Shin, S., Yun, B. G., and Kim, J. C. (2009), Estimation of dynamic displacements of a bridge using FBG sensors, Journal of Korea institute for Structural Maintenance Inspection, KSMI, 13(3), 101-109 (in Korean, with English abstract).   과학기술학회마을
12 Simon, G., Fitzgibbon, A. W., and Zisserman, A. (2000), Markerless tracking using planar structures in the scene, Proceedings of the IEEE and ACM International Symposium on Augmented Reality, 120-128.
13 Szeliski, R. (2011), Computer Vision: Algorithms and Applications, Springer, New York.
14 Yang, H., Gu, Q., Aoyama, T., Takaki, T., and Ishii, I. (2013), Dynamics-based stereo visual inspection using multidimentional modal analysis, IEEE Sensors Journal, 13(12), 4831-4843.   DOI
15 Yilmaz, A., Javed, O., and Shah, M. (2006), Object tracking: A survey, Acm computing surveys (CSUR), 38(4), Article No. 13.