Extraction of Sound Signal from Tiny Vibrations in Motion Magnified Video Using Optical Flow

Khatuna Zannat Mim, A. Miah, Mohiudding Ahmad
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Abstract

Sound is a wave of pressure and displacement through the air or a different medium. When sound waves hit an object, they cause tiny vibrations which are impossible to see with the naked eye on the objects’ surface. A few techniques exist in the literature that can extract sound partially from the high-speed video. In this paper, it is shown that how using the only normal mobile camera, those vibrations can detect and partially recover the sound that produced them. Through this technique, any kind of lighter object like a glass of water, a box of tissues, or a bag of chips is turned into a visual microphone which allows to convert the subtle motions into a sound signal. This technique includes computing local motion signal which is based on the computation of optical flow velocity components for determining vibration signal and then computing global motion signal by squared average values of the local motion signals.
基于光流的运动放大视频微小振动声信号提取
声音是通过空气或其他介质产生的压力和位移波。当声波撞击物体时,会引起物体表面肉眼无法看到的微小振动。文献中已有几种技术可以从高速视频中提取部分声音。本文展示了如何使用唯一的普通移动相机,这些振动可以检测并部分恢复产生它们的声音。通过这项技术,任何一种较轻的物体,比如一杯水、一盒纸巾或一袋薯片,都可以变成一个视觉麦克风,它可以将细微的动作转化为声音信号。该方法首先通过计算光流速度分量来确定振动信号,计算局部运动信号,然后根据局部运动信号的平方平均值计算全局运动信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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