Vision-Based Faint Vibration Extraction Using Singular Value Decomposition

Joint Authors

Zhu, Changan
Lei, Xiujun
Guo, Jie

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-04

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Vibration measurement is important for understanding the behavior of engineering structures.

Unlike conventional contact-type measurements, vision-based methodologies have attracted a great deal of attention because of the advantages of remote measurement, nonintrusive characteristic, and no mass introduction.

It is a new type of displacement sensor which is convenient and reliable.

This study introduces the singular value decomposition (SVD) methods for video image processing and presents a vibration-extracted algorithm.

The algorithms can successfully realize noncontact displacement measurements without undesirable influence to the structure behavior.

SVD-based algorithm decomposes a matrix combined with the former frames to obtain a set of orthonormal image bases while the projections of all video frames on the basis describe the vibration information.

By means of simulation, the parameters selection of SVD-based algorithm is discussed in detail.

To validate the algorithm performance in practice, sinusoidal motion tests are performed.

Results indicate that the proposed technique can provide fairly accurate displacement measurement.

Moreover, a sound barrier experiment showing how the high-speed rail trains affect the sound barrier nearby is carried out.

It is for the first time to be realized at home and abroad due to the challenge of measuring environment.

American Psychological Association (APA)

Lei, Xiujun& Guo, Jie& Zhu, Changan. 2015. Vision-Based Faint Vibration Extraction Using Singular Value Decomposition. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073479

Modern Language Association (MLA)

Lei, Xiujun…[et al.]. Vision-Based Faint Vibration Extraction Using Singular Value Decomposition. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1073479

American Medical Association (AMA)

Lei, Xiujun& Guo, Jie& Zhu, Changan. Vision-Based Faint Vibration Extraction Using Singular Value Decomposition. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073479

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1073479