Review of Different Applications Using Visual Vibration Analysis

Pooja Khatri, S. Kadge, Uday. P. Chhatre
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Abstract

Humans are not able to detect all kinds of visible objects' movement. The human eyes can detect large motions like passing of vehicles, trains, waves of water, etc. and their ears are capable of catching smaller and faster movement of sound. So the human can notice the motion that are large and that can change the average shape or location of objects. The motion that does not change the average shape or location of the object is unnoticed or unseen by the naked human eye. These small and minute motions of the visible object are known as vibration. The unnoticed movement of the visible object are silent but carry an enormous amount of information and that is unknown by humans. The objects surface vibrates when a wave of sound hits an object or when it is under the influence of some unknown forces or wind. The information from these vibrating objects surface can be gathered with the use of many traditional vibration sensors. With the technological advancements in the field of computer vision and graphics shows how a camera can serve as a tool for extracting and analyzing the vibrations from the visible objects surface. This information from the vibrating visible objects surface can be very useful in many applications ranging from audio recovery to structural health monitoring and non-destructive testing of the civil structures. This review paper focuses on the use of the camera as a vibration sensor for extracting the information from vibrating objects surface and explains how this extracted information can be useful in numerous applications such as Extraction of the sound from video, recovery of speech, CCTV surveillance, structural health monitoring of the various objects, non-destructive testing, approximating the material properties of the various fabrics, predicting the properties of the various rods or objects under the influence of unknown forces and many more.
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视觉振动分析的不同应用综述
人类无法察觉各种可见物体的运动。人类的眼睛可以探测到车辆、火车、水波等大的运动,而他们的耳朵能够捕捉到更小、更快的声音运动。所以人类可以注意到大的运动,这可以改变物体的平均形状或位置。不改变物体的平均形状或位置的运动是人类肉眼无法注意到的。可见物体的这种微小运动被称为振动。可见物体的不被注意的运动是无声的,但却携带着大量的信息,而这些信息是人类所不知道的。当声波击中物体或物体受到某种未知力或风的影响时,物体表面就会振动。利用许多传统的振动传感器可以收集这些振动物体表面的信息。随着计算机视觉和图形领域的技术进步,展示了相机如何作为从可见物体表面提取和分析振动的工具。这些来自可见物体振动表面的信息在许多应用中非常有用,从音频恢复到结构健康监测和土木结构的无损检测。本文重点介绍了利用摄像机作为振动传感器从振动物体表面提取信息,并解释了这些提取的信息如何在许多应用中发挥作用,如从视频中提取声音、语音恢复、闭路电视监控、各种物体的结构健康监测、无损检测、近似各种织物的材料特性、预测各种杆或物体在未知力的影响下的特性。
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