Amplitude measurement of small displacement using video magnification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151255" target="_blank" >RIV/00216305:26220/24:PU151255 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2024.212" target="_blank" >10.13164/eeict.2024.212</a>
Alternative languages
Result language
angličtina
Original language name
Amplitude measurement of small displacement using video magnification
Original language description
Video magnification algorithms show promising results when used to amplify small vibrations. Measuring these small vibrations is integral in modal analysis of an object and is usually done using specialized vibrometers or accelerometers. Computer vision (CV) systems fall short in this task as the magnitude of the vibrations decreases because of a small SNR (Signal-to-Noise Ratio). In this paper we try to further improve the accuracy of the CV approach by adding video magnification into the image pre-processing stage, allowing the algorithms to measure even imperceptibly small vibrations. For this purpose, we have gather ground truth data with a laser vibrometer in tandem with high speed camera footage of a metal cantilever beam, vibrating in its first mode, and have trained a convolutional neural network for regression.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings I of the 30th Conference STUDENT EEICT 2024: Selected Papers
ISBN
978-80-214-6230-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
212-217
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 23, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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