DocumentCode :
2818887
Title :
Nasal cavity detection in facial thermal image for non-contact measurement of breathing
Author :
Hanawa, Dai ; Morimoto, Toshiki ; Tearda, Shuhei ; Sakai, Tomoki ; Shimazaki, Shota ; Igarashi, Katsuhiro ; Tsuchiya, Ryuichi ; Mochiduki, Kazuki ; Furusato, Masaya ; Oguchi, Kimio
Author_Institution :
Dept. of Compt. Inf. Sci., Seikei Univ., Musashino, Japan
fYear :
2012
fDate :
3-4 July 2012
Firstpage :
586
Lastpage :
590
Abstract :
In this research, we propose a method of improving on the accuracy of detecting nasal cavity location in far infrared images for non-contact measurement of human breathing. We found that although our previous method for far infrared imaging can detect regions that include nasal cavities well, several false alarms occur. In order to reduce false alarms, we propose to apply false alarm classification into our current method. In false alarm classification, binarize process is employed to segment facial area and background strictly. Based on the result of binarize process, false alarm on background can be classified from the results of detection. 5,100 FIR images are collected to train our nasal cavity detector; we evaluate the number of false alarms and detection failures. The results show that proposed method can reduce false alarm events.
Keywords :
biomedical measurement; biomedical optical imaging; biothermics; image classification; image segmentation; infrared imaging; medical image processing; pneumodynamics; binarize process; breathing; facial area segmentation; facial thermal image; false alarm classification; far infrared imaging; nasal cavity detection; noncontact measurement; Cavity resonators; Face; Finite impulse response filter; Humans; Monitoring; Radio frequency; Training; Binarize process; Facial thermal image; Nasal cavity detection; Non-contact measurement of breathing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4673-1117-5
Type :
conf
DOI :
10.1109/TSP.2012.6256364
Filename :
6256364
Link To Document :
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