Vision-Based Displacement Sensor for Monitoring Dynamic Response Using Robust Object Search Algorithm
Vision-Based Displacement Sensor for Monitoring Dynamic Response Using Robust Object Search Algorithm
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DOI：
10.1109/jsen.2013.2273309
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发表时间：
2013-12-01
影响因子：
4.3
通讯作者：
Tanaka, Takayuki
中科院分区：
文献类型：
--
作者：
Fukuda, Yoshio;Feng, Maria Q.;Tanaka, Takayuki
本文开发了一种基于视觉的位移测量系统，用于桥梁、建筑物等大型结构的振动远程监测。该系统由一台或多台摄像机和一台笔记本电脑组成。通过一个望远镜镜头，照相机被放置在远离建筑物的一个静止点上，捕捉建筑物上物体的图像。通过对采集到的图像进行处理，实时计算结构位移。本文开发的一种鲁棒目标搜索算法可以通过跟踪结构上的现有特征来精确测量位移，而无需在结构上安装传统的目标面板。为了进一步降低测量误差，还提出了一种亚像素技术。通过振动台试验和某大跨度桥梁的现场试验，验证了视觉系统在动态位移远程测量中的有效性。
This paper develops a vision-based displacement measurement system for remote monitoring of vibration of large-size structures such as bridges and buildings. The system consists of one or multiple video cameras and a notebook computer. With a telescopic lens, the camera placed at a stationary point away from a structure captures images of an object on the structure. The structural displacement is computed in real time through processing the captured images. A robust object search algorithm developed in this paper enables accurate measurement of the displacement by tracking existing features on the structure without requiring a conventional target panel to be installed on the structure. A sub-pixel technique is also proposed to further reduce measurement errors cost-effectively. The efficacy of the vision system in remote measurement of dynamic displacements was demonstrated through a shaking table test and a field experiment on a long-span bridge.