DocumentCode :
3482990
Title :
Extraction of the superficial facial vasculature, vital signs waveforms and rates using thermal imaging
Author :
Gault, Travis R. ; Blumenthal, Nicholas ; Farag, Aly A. ; Starr, Tom
Author_Institution :
Comput. Vision & Image Process. Lab., Univ. of Louisville, Louisville, KY, USA
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
1
Lastpage :
8
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.
Keywords :
biometrics (access control); computer vision; face recognition; infrared imaging; video signal processing; arterial pulse; computer vision system; human biometrics; human heart rate; human-machine interface; infrared video; long wave IR imaging; long wave IR video frame; multiresolution analysis; non-intrusive measurement; non-invasive measurement; superficial facial vasculature extraction; thermal imaging; thermal video frame; vascular mapping; vital sign waveform; Anthropometry; Computer vision; Face recognition; Heart rate; Humans; Man machine systems; Optical imaging; Photothermal effects; Pulse measurements; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
ISSN :
2160-7508
Print_ISBN :
978-1-4244-7029-7
Type :
conf
DOI :
10.1109/CVPRW.2010.5544602
Filename :
5544602
Link To Document :
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