Automatic Measurement of Human Body Temperature on Thermal Image Using Knowledge-Based Criteria
DOI:
https://doi.org/10.25126/jitecs.20172235Abstract
Instead of thermometer, an infrared camera could be uti-
lized to scan body temperature instantly and non-contact. This paper
proposed a non-contact measurement of human body temperature by au-
tomatically locating inner-chantus on thermal images. The inner-canthus
were detected in both eyes individually. It located inner-canthi based on
temperature where inner-canthi has the highest temperature in face area.
A Thresholding based on 9-highest temperature were applied to detect
candidates of inner-canthus' blob as it must have minimum 9 pixel area
according to the Standard. Three knowledge based on characteristic of
eye were also applied in the algorithm as several spot in face usually
falls within the temperature threshold. The result show accuracy of al-
gorithm to detect eye is 82% whether the eyelids were open or closed.
There is no signicant dierent of temperature between closed and open
eyes based on paired t-test. The algorithm also showed similar result to
thermometer measurement based on paired t-test.
References
Cho, K.S., Yoon, J.: Fever Screening and Detection of Febrile Arrivals at an Interna-
tional Airport in Korea: Association among Self-reported Fever, Infrared Thermal
Camera Scanning, and Tympanic Temperature. Epidemiology and Health 36, 1{6
(2014)
Nishiura H., and Kamiya K.: Fever screening during the in
uenza (H1N1-2009)
pandemic at Narita International Airport, Japan. BMC Infectious Diseases 11:111
(2011)
Mercer J.B., Ring E.F.J.: Fever Screening and Infrared thermal Imaging: Concerns
and Guidelines, Thermology. 19, 67{69 (2009)
Pascoe D. Fisher G.:Comparison of measuring sites for the assessment of body
temperature. Thermology Int. 19. 35{42 (2009)
Ring E.F.J, Jung A., Kalicki B., Zuber J., Rustecka A.: New Standards for Fever
Screening with Thermal Imaging Systems. Jour. Mech. Med. Biol. 13 (2013)
Budzan S., Wyzgolik R.: Face and Eyes Localization Algorithm in Thermal Images
for Temperature Measurement of the Inner Canthus of the Eyes, Infrared Phys. and
Tech. Jour. 60(1), 225{234 (2013)
Alkali A.H.: Thermal Image Processing for Real Time Non-Contact Respiratiion
Rate Monitoring. IET Jour. of Circ., Dev. and Sys. 11(2), 142{148 (2016)
Fitriyah H., Widasari E.R.,Putri R.R.M.: Inner-Canthus Localization of Thermal
Images in Face-View Invariant. In: 2nd ICET4SD. Yogyakarta (2017)
ISO/TR 13154:2009 ISO/TR 80600: Medical Electrical Equipment Deployment,
Implementation and Operational Guidelines for Identifying Febrile Human using a
Screening Thermograph. (2009)
Milutinovic J., Zelic K., Nedeljkovic N.: Evaluation of Facial Beauty Using An-
thropometric Proportions, Scientic World Journal, 1{8, ID 428250 (2014)
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