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Proceedings Paper

Adaptive Region of Interest (ROI) detection and tracking for respiration measurement in thermal video
Author(s): Balvinder Kaur; Jill K. Nelson; Timothy Williams; Barbara L. O'Kane
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Paper Abstract

Respiration rate is a key guide for evaluating the physiological state of an individual during triage. Recent work has shown that high resolution thermal cameras can passively and remotely obtain respiration signals under controlled environmental conditions. This paper introduces an automatic end-to-end respiration signal measurement (through signal detection) approach based on statistical computation of the image intensities around the human nostril area in a thermal video. A method is presented to detect and track the nostril area and to calculate statistical values of the pixel intensity around the nostril area and correlate the statistical values with respiration signals from a contact sensor such as transducer belt. Results are based upon data collected from 200 subjects across two different experiments. This work provides not only a new image processing tool for tracking facial ROIs in thermal imagery, but also enhances our capability to provide non-contact, remote, passive, and real-time methods for measuring respiration for security and medical applications.

Paper Details

Date Published: 10 May 2012
PDF: 9 pages
Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 840117 (10 May 2012); doi: 10.1117/12.922926
Show Author Affiliations
Balvinder Kaur, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Jill K. Nelson, George Mason Univ. (United States)
Timothy Williams, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Barbara L. O'Kane, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 8401:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
Harold Szu, Editor(s)

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