Measuring human-induced vibrations of civil engineering structures via vision-based motion tracking
Measuring human-induced vibrations of civil engineering structures via vision-based motion tracking
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DOI：
10.1016/j.measurement.2016.01.015
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发表时间：
2016-04
期刊：
影响因子：
5.6
通讯作者：
Feng Zheng;Ling Shao;V. Racic;J. Brownjohn
中科院分区：
文献类型：
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作者：
Feng Zheng;Ling Shao;V. Racic;J. Brownjohn
我们提出了一种新的框架，通过基于视觉的跟踪算法测量多个人在一组或人群中的身体运动，从而使土木工程结构，如地板和看台的人为振动的研究。为了克服在这种情况下，通常观察到的困难，如光照变化和对象变形，在线集成学习算法，这是自适应的非平稳环境，采用。结合易于携带和安装的硬件，该系统可以捕获各种大小的组中的多个个体的位移或加速度的特性，并且在现实世界中设置。为了证明所提出的系统的有效性，测量的位移和计算的加速度进行比较，同时获得两个广泛使用的运动跟踪系统的测量。大量的实验表明，所提出的系统实现了与流行的无线惯性传感器和基于标记的光学系统相当的性能，但没有通常与这种传统系统相关的限制。对比实验也可以用来指导我们所提出的系统的应用。
We present a novel framework for measuring the body motion of multiple individuals in a group or crowd via a vision-based tracking algorithm, thus to enable studies of human-induced vibrations of civil engineering structures, such as floors and grandstands. To overcome the difficulties typically observed in this scenario, such as illumination change and object deformation, an online ensemble learning algorithm, which is adaptive to the non-stationary environment, is adopted. Incorporated with an easily carried and installed hardware, the system can capture the characteristics of displacements or accelerations for multiple individuals in a group of various sizes and in a real-world setting. To demonstrate the efficacy of the proposed system, measured displacements and calculated accelerations are compared to the simultaneous measurements obtained by two widely used motion tracking systems. Extensive experiments illustrate that the proposed system achieves equivalent performance as popular wireless inertial sensors and a marker-based optical system, but without limitations commonly associated with such traditional systems. The comparable experiments can also be used to guide the application of our proposed system.