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首页> 外文期刊>Sensors Journal, IEEE >Real-Time Vibration Source Tracking Using High-Speed Vision
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Real-Time Vibration Source Tracking Using High-Speed Vision

机译：使用高速视觉实时跟踪振动源

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摘要

In this paper, a concept of vision-based vibration source localization to extract vibration image regions using pixel-level digital filters in a high-frame-rate (HFR) video is proposed. The method can detect periodic changes in the audio frequency range in image intensities at pixels of vibrating objects. Owing to the acute directivity of the optical image sensor, our HFR-vision-based method can localize a vibration source more accurately than acoustic source localization methods. By applying pixel-level digital filters to clipped region-of-interest (ROI) images, in which the center position of a vibrating object is tracked at a fixed position, our method can reduce the latency effect on a digital filter, which may degrade the localization accuracy in vibration source tracking. Pixel-level digital filters for 128×128 ROI images, which are tracked from 512×512 input images, are implemented on a 1000-frames/s vision platform that can measure vibration distributions at 100 Hz or higher. Our tracking system allows a vibrating object to be tracked in real time at the center of the camera view by controlling a pan-tilt active vision system. We present several experimental tracking results using objects vibrating at high frequencies, which cannot be observed by standard video cameras or the naked human eye, including a flying quadcopter with rotating propellers, and demonstrate its performance in vibration source localization with sub-degree-level angular directivity, which is more acute than a few or more degrees of directivity in acoustic-based source localization.
机译：在本文中，提出了一种基于视觉的振动源定位概念，以在高帧率（HFR）视频中使用像素级数字滤波器提取振动图像区域。该方法可以检测振动物体的像素处的图像强度的音频范围内的周期性变化。由于光学图像传感器具有敏锐的方向性，因此基于HFR视觉的方法可以比声源定位方法更准确地定位振动源。通过将像素级数字滤波器应用到裁剪的感兴趣区域（ROI）图像中，在该图像中跟踪振动对象的中心位置处于固定位置，我们的方法可以减少对数字滤波器的延迟影响，这可能会降低振动源跟踪中的定位精度。从512×512输入图像跟踪的128×128 ROI图像的像素级数字滤波器是在1000帧/秒的视觉平台上实现的，该平台可以测量100 Hz或更高的振动分布。我们的跟踪系统允许通过控制云台主动视觉系统在摄像机视图的中心实时跟踪振动的对象。我们提供了使用高频振动的物体的几种实验跟踪结果，这些物体无法通过标准摄像机或肉眼观察到，包括带有旋转螺旋桨的四轴飞行器，并展示了其在低于度角的振动源定位中的性能。方向性，比基于声音的源定位中的几个或多个方向性更为尖锐。

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