DocumentCode
2339450
Title
Tracking human face features in thermal images for respiration monitoring
Author
Al-Khalidi, Farah Q. ; Saatchi, Reza ; Burke, Derek ; Elphick, Heather
Author_Institution
Fac. of ACES, Sheffield Hallam Univ., Sheffield, UK
fYear
2010
fDate
16-19 May 2010
Firstpage
1
Lastpage
6
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.
Keywords
face recognition; feature extraction; infrared imaging; tracking; video signal processing; contact respiration rate monitoring; human face features tracking; human face physiology; relevant salient features; respiration monitoring; respiration process; respiration region of interest; skin temperature; thermal image; thermal video images; Image edge detection; Maximum likelihood detection; Monitoring; Nonlinear filters; Nose; Tracking; facial tracking method; noncontact respiration monitoring; thermal imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications (AICCSA), 2010 IEEE/ACS International Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4244-7716-6
Type
conf
DOI
10.1109/AICCSA.2010.5586994
Filename
5586994
Link To Document