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Face Detection of Thermal Images in Various Standing Body-Pose using Facial Geometry
https://doi.org/10.22146/ijccs.59672 Hurriyatul Fitriyah(1*), Edita Rosana Widasari(2)
(1) Department of Computer Engineeering, FILKOM, Universitas Brawijaya
(2) Department of Computer Engineeering, FILKOM, Universitas Brawijaya
(*) Corresponding Author
Abstract
Automatic face detection in frontal view for thermal images is a primary task in a health system e.g. febrile identification or security system e.g. intruder recognition. In a daily state, the scanned person does not always stay in frontal face view. This paper develops an algorithm to identify a frontal face in various standing body-pose. The algorithm used an image processing method where first it segmented face based on human skin’s temperature. Some exposed non-face body parts could also get included in the segmentation result, hence discriminant features of a face were applied. The shape features were based on the characteristic of a frontal face, which are: (1) Size of a face, (2) facial Golden Ratio, and (3) Shape of a face is oval. The algorithm was tested on various standing body-pose that rotate 360° towards 2 meters and 4 meters camera-to-object distance. The accuracy of the algorithm on face detection in a manageable environment is 95.8%. It detected face whether the person was wearing glasses or not.
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[1] Goubet, E., Katz, J., Porikli F. “Pedestrian Tracking Using Thermal Infrared Imaging”. SPIE Defense & Security Symposium. pp: 1-13. 2006
[2] Miezianko, R., Pokrajac, D., “People detection in low resolution infrared videos”. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. pp: 1–6. 2008.
[3] Qiao, Y., Wei, Z., Zhao, Y. “Thermal Infrared Pedestrian Image Segmentation Using Level Set Method”. Sensors. Vol. 17(8). pp: 1811. 2017.
[4] Sun, G., Nakayama, Y., Dagdanpurev, S., Abe, S., Nishimura, H., Kirimoto, T., Matsui, T. “Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases”. International Journal of Infectious Disease. Vol. 55. pp: 113-117. 2017.
[5] Cho, K.S. & Yoon, J., “Fever Screening and Detection of Febrile Arrivals at an International Airport in Korea: Association among Self-reported Fever, Infrared Thermal Camera Scanning, and Tympanic Temperature”. Epidemiology and Health. Vol. 36. 2014.
[6] Suzuki, H., Minami, M. “Real-time multiple face detection of pedestrian using hybrid GA”. 7th International IEEE Conference on Intelligent Transportation Systems. pp: 708-713. 2004.
[7] Ge, J., Luo, Y., Tei, G. “Real-Time Pedestrian Detection and Tracking at Nighttime for Driver-Assistance Systems”. IEEE Transactions on Intelligent Transportation Systems. Vol. 10 (2). pp: 283-298. 2009.
[8] Bertozzi, M., Broggi, A., Gomez, C.H., Fedriga, R.I., Vezzoni, G., DelRose, M. “Pedestrian Detection in Far Infrared Images based on the use of Probabilistic Templates”. IEEE Intelligent Vehicles Symposium. pp: 327-332. 2007.
[9] Li, J., Gong, W. “Real Time Pedestrian Tracking using Thermal Infrared Imagery”. Journal of Computers. Vol. 5(10). pp: 1606-1613. 2010.
[10] Davis, J.W., Keck, M.A. “A Two-Stage Template Approach to Person Detection in Thermal Imagery”. 7th IEEE Workshops on Application of Computer Vision. WACV/MOTIONS '05. pp: 364-369. 2005.
[11] Wolff, L.B., Socolinsky, D.A., Eveland, C.K. “Face Recognition in the Thermal Infrared”. In: Bhanu B., Pavlidis I. (ed.). Computer Vision beyond the Visible Spectrum. Advances in Pattern Recognition. Springer. 2005.
[12] Ma, Y., Wu, X., Yu, G., Xu, Y., Wang, Y. “Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery”. Sensors. Vol. 16(4). pp: 446. 2016.
[13] Yasuno, M., Sasaki, R., Yasuda, N., Aoki, M. “Pedestrian detection and tracking in far infrared images”. IEEE Intelligent Transportation Systems. pp: 182-187. 2005.
[14] Wang, J. & Tan, T. “A new face detection method based on shape information”. Pattern Recognition Letters. Vol. 21(6-7). pp: 463–471. 2000.
[15] Karlsbad, A., Kopp, S. “Intramuscular and skin surface temperatures of the resting human superficial masseter muscle”. Acta Odontologica Scandinavica. Vol. 49(4). pp: 225–231. 1991.
[16] Solomon, S. Brecken, T. “Fundamentals of Digital Image Processing; A Practical Approach with Examples in MATLAB”. Wiley-Blackwell. 2011.
[17] Gonzalez, R., Woods, R.E. Thresholding in Digital Image Processing”, pp. 595-611. Pearson Education. 2011.
[18] De Natale, F.G.B, Boato, G. "Detecting Morphological Filtering of Binary Images," IEEE Transactions on Information Forensics and Security, Vol. 12(5), pp. 1207-1217, 2017.
[19] Alam, M.K., Mohd Noor, N.F., Basri, R., Yew, T.F., Wen, T.H. “Multiracial Facial Golden Ratio and Evaluation of Facial Appearance”. Pavlova, M.A. (ed.). PLOS ONE. Vol. 10(11). 2015.
[20] Zhuang, Z., Landsittel, D., Benson, S., Roberge, R., Shaffer. R. “Facial Anthropometric Differences among Gender, Ethnicity, and Age Groups”. The Annals of Occupational Hygiene. Vol. 54(4). pp: 391-402. 2010.
[21] Milutinovic, J., Zelic, K. & Nedeljkovic, N. “Evaluation of Facial Beauty Using Anthropometric Proportions”. The Scientific World Journal. pp: 1–8. 2014.
[22] Saurabh R, Piyush B, Sourabh B, Preeti O, Trivedi R, Vishnoi P. “Assessment of facial golden proportions among central Indian population”. Journal of International Society of Preventive and Community Dentistry. Vol. 6(9). pp: 182. 2016.
[23] Packiriswamy, V., Kumar, P. & Rao, M. “Identification of facial shape by applying golden ratio to the facial measurements: An interracial study in Malaysian population”. North American Journal of Medical Sciences. Vol. 4(12). pp: 624. 2012.
DOI: https://doi.org/10.22146/ijccs.59672
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