A new method to filter the effect of camera motions through background templates is proposed in this manuscript. Moreover, the effect of template sizes and brightness on the accuracy of monitored displacement was analyzed and compared. Several experiments were performed on a Multipurpose Testing System (MTS) machine using different frequencies and amplitudes to verify the method. All six camera motions (three translations and three rotations) were considered in this study, and the proposed method successfully filtered the effect of these motions. The results showed that filtering the camera vibrations significantly improved the displacement-monitoring accuracy from 53.0 to 97.0%. Adopting scale factors for every frame and different position in each frame also helped to improve the accuracy of the monitored displacement from 97.0 to 99.0%. It is impossible to obtain correct nature frequency of the structure before filtering the camera vibrations because there is more than one peak from the camera vibrations or the environment in the FFT result. With the developed filtering method, the target motions’ frequencies were successfully identified.

本手稿提出了一种通过背景模板过滤相机运动效果的新方法。此外，还分析和比较了模板尺寸和亮度对位移监测精度的影响。在多用途测试系统 (MTS) 机器上使用不同的频率和幅度进行了几次实验以验证该方法。本研究考虑了所有六个相机运动（三个平移和三个旋转），并且所提出的方法成功地过滤了这些运动的影响。结果表明，过滤相机振动显着提高位移监测精度从 53.0% 到 97.0%。对每一帧和每一帧中的不同位置采用比例因子也有助于将监测位移的精度从 97.0% 提高到 99.0%。在对相机振动进行滤波之前，不可能获得结构的正确自然频率，因为在 FFT 结果中存在多个来自相机振动或环境的峰值。使用开发的滤波方法，成功识别了目标运动的频率。