Experimental Study on Measuring and Tracking Structural Displacement Based on Surveillance Video Image Analysis

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 2; p. 601
• Main Authors: Ni, Tongyuan, Wang, Liuqi, Yin, Xufeng, Cai, Ziyang, Yang, Yang, Kong, Deyu, Liu, Jintao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2024; MDPI
• Subjects: Accuracy; Big Data; Bridges; Calibration; Deformation; Digital cameras; Experiments; health monitoring; Image processing; image processing technology; Measurement; Sensors; structural displacement; Surveillance; surveillance video images; tracking and monitoring; Traffic flow; China; image processing technology; health monitoring; tracking and monitoring; structural displacement; surveillance video images
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s24020601

The digital image method of monitoring structural displacement is receiving more attention today, especially in non-contact structure health monitoring. Some obvious advantages of this method, such as economy and convenience, were shown while it was used to monitor the deformation of the bridge structure during the service period. The image processing technology was used to extract structural deformation feature information from surveillance video images containing structural displacement in order to realize a new non-contact online monitoring method in this paper. The influence of different imaging distances and angles on the conversion coefficient ( ) that converts the pixel coordinates to the actual displacement was first studied experimentally. Then, the measuring and tracking of bridge structural displacement based on surveillance video images was investigated by laboratory-scale experiments under idealized conditions. The results showed that the video imaging accuracy can be affected by changes in the relative position of the imaging device and measured structure, which is embodied in the change in (actual size of individual pixel) on the structured image. The increase in distance between the measured structure and the monitoring equipment will have a significant effect on the change in the value. The value of varies linearly with the change in shooting distance. The value of will be affected by the changes in shooting angle. The millimeter-level online monitoring of the structure displacement can be realized using images based on surveillance video images. The feasibility of measuring and tracking structural displacement based on surveillance video images was confirmed by a laboratory-scale experiment.