Efficient subtle motion detection from high-speed video for sound recovery and vibration analysis using singular value decomposition-based approach

Dashan Zhang; Jie Guo; Yi Jin; Chang’an Zhu

doi:10.1117/1.OE.56.9.094105

12 September 2017 Efficient subtle motion detection from high-speed video for sound recovery and vibration analysis using singular value decomposition-based approach

Dashan Zhang, Jie Guo, Yi Jin, Chang’an Zhu

Author Affiliations +

Optical Engineering, Vol. 56, Issue 9, 094105 (September 2017). https://doi.org/10.1117/1.OE.56.9.094105

Abstract

High-speed cameras provide full field measurement of structure motions and have been applied in nondestructive testing and noncontact structure monitoring. Recently, a phase-based method has been proposed to extract sound-induced vibrations from phase variations in videos, and this method provides insights into the study of remote sound surveillance and material analysis. An efficient singular value decomposition (SVD)-based approach is introduced to detect sound-induced subtle motions from pixel intensities in silent high-speed videos. A high-speed camera is initially applied to capture a video of the vibrating objects stimulated by sound fluctuations. Then, subimages collected from a small region on the captured video are reshaped into vectors and reconstructed to form a matrix. Orthonormal image bases (OIBs) are obtained from the SVD of the matrix; available vibration signal can then be obtained by projecting subsequent subimages onto specific OIBs. A simulation test is initiated to validate the effectiveness and efficiency of the proposed method. Two experiments are conducted to demonstrate the potential applications in sound recovery and material analysis. Results show that the proposed method efficiently detects subtle motions from the video.

Citation Download Citation

Dashan Zhang, Jie Guo, Yi Jin, and Chang’an Zhu "Efficient subtle motion detection from high-speed video for sound recovery and vibration analysis using singular value decomposition-based approach," Optical Engineering 56(9), 094105 (12 September 2017). https://doi.org/10.1117/1.OE.56.9.094105

Received: 7 May 2017; Accepted: 18 August 2017; Published: 12 September 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available