Extraction of the Superficial Facial Vasculature, Vital Signs Waveforms and Rates Using Thermal Imaging
Abstract
This work deals with non-invasive and non-intrusive measurements of the human facial vasculature from thermal imaging, and estimates the waveforms and rates of the arterial pulse. The paper addresses the issues involved with use of Long-Wave IR imaging in studies of human biometrics, and focuses on measurements of human's heart rate based on a small number of thermal video frames. Infrared videos of 30 subjects were recorded at two distances. Vascular mapping and multi-resolution analysis are used to calculate a subject's heart rate using only 512 Long-Wave IR video frames (17.07 seconds). This semi-automatic process is typically 89-99% accurate, with average accuracies at both distances at approximately 93%. The work is a step in a comprehensive computer vision system for computational studies on human-machine interface.
Cite
Text
Gault et al. "Extraction of the Superficial Facial Vasculature, Vital Signs Waveforms and Rates Using Thermal Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010. doi:10.1109/CVPRW.2010.5544602Markdown
[Gault et al. "Extraction of the Superficial Facial Vasculature, Vital Signs Waveforms and Rates Using Thermal Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2010.](https://mlanthology.org/cvprw/2010/gault2010cvprw-extraction/) doi:10.1109/CVPRW.2010.5544602BibTeX
@inproceedings{gault2010cvprw-extraction,
title = {{Extraction of the Superficial Facial Vasculature, Vital Signs Waveforms and Rates Using Thermal Imaging}},
author = {Gault, Travis R. and Blumenthal, N. and Farag, Aly A. and Starr, Thomas L.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2010},
pages = {1-8},
doi = {10.1109/CVPRW.2010.5544602},
url = {https://mlanthology.org/cvprw/2010/gault2010cvprw-extraction/}
}