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An Intelligent Thermal Imaging System Adopting Fuzzy-Logic-Based Viola Jones Method in Flu Detection
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Author(s): Wai Kit Wong (Multimedia University of Melaka, Malaysia), Nur Izzati Nadiah Binti Ishak (Telekom Research and Development Sdn Bhd, Malaysia), Heng Siong Lim (Multimedia University, Malaysia)and Jalil bin Md Desa (Telekom Research and Development Sdn Bhd, Malaysia)
Copyright: 2017
Pages: 39
Source title:
Recent Advances in Applied Thermal Imaging for Industrial Applications
Source Author(s)/Editor(s): V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2423-6.ch001
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Abstract
Some infectious diseases can spread rapidly via a community of human or animals or both, either through airborne particles or viruses. Such rapid spread diseases may become a local, national or international widespread and contagious threat. As a symptom of infection, the body temperature of a disease carrier is higher than normal people. In this chapter, flu detection system using thermal imaging tool and computer vision techniques are discussed. An automatic flu detection method adopting human object extraction algorithm and fuzzy logic based Viola Jones algorithm are also discussed. The proposed system able to capture a thermogram of the human subject, detecting the eye region of the human subject, calculating the pixels values around the detected eye region, converted to temperature readings and further classified the subject's body temperature whether the subject satisfies a flu condition or not. Experimental results also shown that the proposed fuzzy logic based Viola Jones algorithm can trace out flu infectious personal from the input thermal images up to 80% of accuracy.
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