Tracking human face features in thermal images for respiration monitoring

AL-KHALIDI, F. Q., SAATCHI, R., BURKE, D. and ELPHICK, H. (2010). Tracking human face features in thermal images for respiration monitoring. In: 2010 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), Hammamet, Tunisia, 16-19 May, 2010.

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Abstract

A method has been developed to track a region related to respiration process in thermal images. The respiration region of interest (ROI) consisted of the skin area around the tip of the nose. The method was then used as part of a non-contact respiration rate monitoring that determined the skin temperature changes caused by respiration. The ROI was located by the first determining the relevant salient features of the human face physiology. These features were the warmest and coldest facial points. The tracking method was tested on thermal video images containing no head movements, small random and regular head movements. The method proved valuable for tracking the ROI in all these head movement types. It was also possible to use this tracking method to monitor respiration rate involving a number of head movement types. Currently, more investigations are underway to improve the tracking method so that it can track the ROI in cases larger head movements.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	(c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number:	https://doi.org/10.1109/AICCSA.2010.5586994
Depositing User:	Ann Betterton
Date Deposited:	15 Dec 2010 09:42
Last Modified:	18 Mar 2021 08:09
URI:	https://shura.shu.ac.uk/id/eprint/2752

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