Paper
26 January 2017 Video motion magnification for monitoring of vital signals using a perceptual model
Author Affiliations +
Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101600L (2017) https://doi.org/10.1117/12.2256971
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina
Abstract
In this paper we present an Eulerian motion magnification technique using a spatial decomposition based on the Steered Hermite Transform (SHT) which is inspired in the Human Vision System (HVS). We test our method in one sequence of the breathing of a newborn baby and on a video sequence that shows the heartbeat on the wrist. We estimate the heart pulse applying the Fourier transform on the magnified sequences. Our motion magnification approach is compared to the Laplacian and the Cartesian Hermite decomposition strategies by means of quantitative metrics.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge Brieva, Ernesto Moya-Albor, Sandra L. Gomez-Coronel, and Hiram Ponce "Video motion magnification for monitoring of vital signals using a perceptual model", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600L (26 January 2017); https://doi.org/10.1117/12.2256971
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Cited by 4 scholarly publications.
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KEYWORDS
Motion models

Video

Visualization

Image filtering

Gaussian filters

Heart

Image quality

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