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首页> 外文期刊>Journal of structural engineering >Integrated Video Analysis Framework for Vision-Based Comparison Study on Structural Displacement and Tilt Measurements
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Integrated Video Analysis Framework for Vision-Based Comparison Study on Structural Displacement and Tilt Measurements

机译：基于视觉的基于视觉比较研究的集成视频分析框架和结构位移和倾斜测量

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摘要

With the advancement and wide availability of digital video cameras, compounded with the development and enhancement of computer vision methods, vision-based sensing using a video camera as a sensor is promising to become a viable alternative and complementary approach to conventional structural health monitoring (SHM). Among many video analytics methods, no single method is effective for various practical SHM applications using a video camera as a sensor. Not only is it vitally important to understand the effectiveness and shortcomings of the methods, but also there is a need for developing an integrated framework and software tool to enable structural engineers to apply the suitable method for the SHM case at hand. To bridge the gap between the research and practical vision-based SHM applications, this paper presents a unified video analysis framework that integrates both the phase-based algorithm and template matching methods for processing SHM videos recorded using either industrial or consumer types of cameras. The methods have been implemented and integrated into a versatile software tool for extracting structural responses such as displacements, velocities, and accelerations at the points of interest on a structure. The integrated tool enables us to conduct a comparison study of displacement and tilt measurements for a reinforced concrete wall tested in a large structural laboratory and a highway bridge test in the field. The results obtained for the tests have been compared with measurements by conventional sensors. The comparison reveals the advantages and limitations of the phase-based algorithm and the template matching methods. The integrated framework, together with the lessons learned from the comprehensive comparison study, facilitates effective SHM applications using a video camera as a sensor in practice.
机译：随着数字摄像机的进步和广泛可用性，随着计算机视觉方法的开发和增强，使用摄像机作为传感器的基于视觉的感测是有希望成为传统结构健康监测的可行替代和互补方法（SHM ）。在许多视频分析方法中，没有单一方法对于使用摄像机作为传感器的各种实用SHM应用是有效的。不仅可以了解方法的有效性和缺点，还需要开发综合框架和软件工具，以使结构工程师能够为手头的SHM情况应用合适的方法。为了弥合基于视觉视觉的SHM应用的差距，本文介绍了一个统一的视频分析框架，它集成了基于相位的算法和模板匹配方法，用于使用工业或消费者类型的摄像机记录的SHM视频。已经实现并集成到通用软件工具中，用于提取结构响应，例如位移，速度和在结构点的加速度。综合工具使我们能够对在大型结构实验室中测试的钢筋混凝土墙和领域的公路桥梁试验中进行钢筋混凝土墙的位移和倾斜测量进行比较研究。将测试获得的结果与传统传感器的测量进行了比较。比较揭示了基于相位的算法和模板匹配方法的优缺点。综合框架以及从综合比较研究中汲取的经验教训，有效地使用摄像机作为传感器的有效SHM应用。

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