计算机视觉
计算机科学
振动
人工智能
对象(语法)
人体运动
运动(音乐)
声学
运动(物理)
测距
计算机图形学(图像)
物理
电信
作者
Pooja Khatri,Sushma Kadge,Uday Chhatre
标识
DOI:10.1109/iccdw45521.2020.9318701
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI