Capturing Micro-Amplitude Structural Vibrations with Low-Cost Cameras: A Non-Contact Measurement Approach
Email:
luusbvl@utc.edu.vn
Từ khóa:
Computer vision; non-contact measurement; low-cost camera
Tóm tắt
Vibrations of existing structures induced by wind, traffic, and human activities are often ambient in nature. These vibrations typically have low amplitudes, making it challenging to capture their motion with a camera. This paper presents a framework for measuring the displacement of structural ambient vibrations without physical contact using a low-cost camera. The micro-amplitude vibrations of the structure are captured by the camera and then amplified using the Phase-Based Video Motion Magnification (PVMM). The centroid of structural target segments in each image frame is tracked using the proposed Shape-Box Tracking (SBT). Unwanted background objects are removed using the proposed Line-Based Color Selection (LCS). Vibration characteristics are determined using frequency-based analysis and Random Decrement Technique (RDT). Two experiments based on the proposed framework were conducted to demonstrate its effectiveness. The first involved free-decay vibration testing with large amplitudes, while the second focused on ambient vibration with small amplitudes, emphasizing motion magnification. The success of this method paves the way for applying low-cost cameras in the operational measurement of existing structuresTài liệu tham khảo
[1]. L.X. Le, H. Katsuchi, S. Kawai, Damping in stay cable with damper: Practical universal damping curve and full-scale measurement, Journal of Sound and Vibration, 569 (2024) 118090. https://doi.org/10.1016/j.jsv.2023.118090
[2]. X. Le, H. Katsuchi, B. Luong, L. Vu, Q. Ha, Enhancing vibration control in stay cables: A modified damping formulation with NS-HDR damper, Transport and Communications Science Journal, 75 (2024) 1198-1212. https://doi.org/10.47869/tcsj.75.1.8
[3]. Y. Fujino, D.M. Siringoringo, Recent research and development programs for infrastructures maintenance, renovation and management in Japan, Structure and Infrastructure Engineering, 16 (2020) 3-25. https://doi.org/10.1080/15732479.2019.1650077
[4]. A.B. Mehrabi, S. Farhangdoust, A laser-based noncontact vibration technique for health monitoring of structural cables: background, success, and new developments, Advances in Acoustics and Vibration, 1 (2018) 8640674. https://doi.org/10.1155/2018/8640674
[5]. L.X. Le, D.M. Siringoringo, H. Katsuchi, Y. Fujino, B.X. Luong, Stereovision-based vibration measurement of stay cable using synchronized multi-camera setup and video motion magnification, Engineering Structures, 296 (2023) 116938. https://doi.org/10.1016/j.engstruct.2023.116938
[6]. D. Feng, T. Scarangello, M.Q. Feng, Q. Ye, Cable tension force estimate using novel noncontact vision-based sensor, Measurement, 99 (2017) 44-52. https://doi.org/10.1016/j.measurement.2016.12.020
[7]. D. Jana, S. Nagarajaiah, Computer vision-based real-time cable tension estimation in Dubrovnik cable-stayed bridge using moving handheld video camera, Structural Control and Health Monitoring, 28 (2021) e2713. https://doi.org/10.1002/stc.2713
[8]. Y. Shao, L. Li, J. Li, S. An, H. Hao, Computer vision based target-free 3D vibration displacement measurement of structures, Engineering Structures, 246 (2021) 113040. https://doi.org/10.1016/j.engstruct.2021.113040
[9]. K. Luo, X. Kong, J. Zhang, J. Hu, J. Li, H. Tang, Computer vision-based bridge inspection and monitoring: A review, Sensors, 23 (2023) 7863. https://doi.org/10.3390/s23187863
[10]. Y. Cheng, Z. Tian, D. Ning, K. Feng, Z. Li, S. Chauhan, G. Vashishtha, Computer vision-based non-contact structural vibration measurement: Methods, challenges and opportunities, Measurement, 243 (2025) 116426. https://doi.org/10.1016/j.measurement.2024.116426
[11]. C. Z. Dong, F. N. Catbas, A review of computer vision-based structural health monitoring at local and global levels, Structural Health Monitoring, 20 (2021) 692-743.
[12]. H. Nyquist, Certain topics in telegraph transmission theory, Proceedings of the IEEE, 90 (2002) 280-305. https://journals.sagepub.com/doi/10.1177/1475921720935585
[13]. N. Wadhwa, M. Rubinstein, F. Durand, W.T. Freeman, Phase-based video motion processing, ACM Transactions on Graphics, 32 (2013) 1-10. https://doi.org/10.1145/2461912.2461966
[14]. N. Wadhwa, Revealing and analyzing imperceptible deviations in images and videos, Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA 02139, United States, 2016.
[15]. S. R. Ibrahim, Random decrement technique for modal identification of structures, Journal of Spacecraft and Rockets, 14 (1977) 696-700. https://doi.org/10.2514/3.57251
[2]. X. Le, H. Katsuchi, B. Luong, L. Vu, Q. Ha, Enhancing vibration control in stay cables: A modified damping formulation with NS-HDR damper, Transport and Communications Science Journal, 75 (2024) 1198-1212. https://doi.org/10.47869/tcsj.75.1.8
[3]. Y. Fujino, D.M. Siringoringo, Recent research and development programs for infrastructures maintenance, renovation and management in Japan, Structure and Infrastructure Engineering, 16 (2020) 3-25. https://doi.org/10.1080/15732479.2019.1650077
[4]. A.B. Mehrabi, S. Farhangdoust, A laser-based noncontact vibration technique for health monitoring of structural cables: background, success, and new developments, Advances in Acoustics and Vibration, 1 (2018) 8640674. https://doi.org/10.1155/2018/8640674
[5]. L.X. Le, D.M. Siringoringo, H. Katsuchi, Y. Fujino, B.X. Luong, Stereovision-based vibration measurement of stay cable using synchronized multi-camera setup and video motion magnification, Engineering Structures, 296 (2023) 116938. https://doi.org/10.1016/j.engstruct.2023.116938
[6]. D. Feng, T. Scarangello, M.Q. Feng, Q. Ye, Cable tension force estimate using novel noncontact vision-based sensor, Measurement, 99 (2017) 44-52. https://doi.org/10.1016/j.measurement.2016.12.020
[7]. D. Jana, S. Nagarajaiah, Computer vision-based real-time cable tension estimation in Dubrovnik cable-stayed bridge using moving handheld video camera, Structural Control and Health Monitoring, 28 (2021) e2713. https://doi.org/10.1002/stc.2713
[8]. Y. Shao, L. Li, J. Li, S. An, H. Hao, Computer vision based target-free 3D vibration displacement measurement of structures, Engineering Structures, 246 (2021) 113040. https://doi.org/10.1016/j.engstruct.2021.113040
[9]. K. Luo, X. Kong, J. Zhang, J. Hu, J. Li, H. Tang, Computer vision-based bridge inspection and monitoring: A review, Sensors, 23 (2023) 7863. https://doi.org/10.3390/s23187863
[10]. Y. Cheng, Z. Tian, D. Ning, K. Feng, Z. Li, S. Chauhan, G. Vashishtha, Computer vision-based non-contact structural vibration measurement: Methods, challenges and opportunities, Measurement, 243 (2025) 116426. https://doi.org/10.1016/j.measurement.2024.116426
[11]. C. Z. Dong, F. N. Catbas, A review of computer vision-based structural health monitoring at local and global levels, Structural Health Monitoring, 20 (2021) 692-743.
[12]. H. Nyquist, Certain topics in telegraph transmission theory, Proceedings of the IEEE, 90 (2002) 280-305. https://journals.sagepub.com/doi/10.1177/1475921720935585
[13]. N. Wadhwa, M. Rubinstein, F. Durand, W.T. Freeman, Phase-based video motion processing, ACM Transactions on Graphics, 32 (2013) 1-10. https://doi.org/10.1145/2461912.2461966
[14]. N. Wadhwa, Revealing and analyzing imperceptible deviations in images and videos, Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA 02139, United States, 2016.
[15]. S. R. Ibrahim, Random decrement technique for modal identification of structures, Journal of Spacecraft and Rockets, 14 (1977) 696-700. https://doi.org/10.2514/3.57251
Tải xuống
Chưa có dữ liệu thống kê
Nhận bài
04/05/2025
Nhận bài sửa
13/09/2025
Chấp nhận đăng
07/11/2025
Xuất bản
15/01/2026
Chuyên mục
Công trình khoa học
Kiểu trích dẫn
Le Xuan, L., Luong Xuan, B., Ha Van, Q., & Ta Thi, H. (1768410000). Capturing Micro-Amplitude Structural Vibrations with Low-Cost Cameras: A Non-Contact Measurement Approach. Tạp Chí Khoa Học Giao Thông Vận Tải, 77(1), 16-29. https://doi.org/10.47869/tcsj.77.1.2
