DocumentCode :
2403293
Title :
Vital sign estimation from passive thermal video
Author :
Yang, Ming ; Liu, Qiong ; Turner, Thea ; Wu, Ying
Author_Institution :
Dept. of EECS, Northwestern Univ., Evanston, IL
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
Conventional wired detection of vital signs limits the use of these important physiological parameters by many applications, such as airport health screening, elder care, and workplace preventive care. In this paper, we explore contact-free heart rate and respiratory rate detection through measuring infrared light modulation emitted near superficial blood vessels or a nasal area respectively. To deal with complications caused by subjectspsila movements, facial expressions, and partial occlusions of the skin, we propose a novel algorithm based on contour segmentation and tracking, clustering of informative pixels, and dominant frequency component estimation. The proposed method achieves robust subject regions-of-interest alignment and motion compensation in infrared video with low SNR. It relaxes some strong assumptions used in previous work and substantially improves on previously reported performance. Preliminary experiments on heart rate estimation for 20 subjects and respiratory rate estimation for 8 subjects exhibit promising results.
Keywords :
image resolution; medical image processing; video signal processing; airport health screening; contour segmentation-tracking; dominant frequency component estimation; elder care; facial expressions; infrared light modulation; passive thermal video; superficial blood vessels; vital sign estimation; wired detection; workplace preventive care; Airports; Area measurement; Blood vessels; Employment; Frequency estimation; Heart rate; Heart rate detection; Infrared detectors; Optical modulation; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587826
Filename :
4587826
Link To Document :
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