| Summary: | 碩士 === 元智大學 === 電機工程學系 === 105 === Thermal image has many applications on image processing such as human detection, face recognition and physiological signal evaluation, etc. The respiratory rate is an important physiological signal, and it is highly related to emotion and some diseases. Therefore, we propose a non-contact method to estimate the respiratory rate from thermal image in this paper. Thermal image can provide the information about temperature distribution, so we can use this property to evaluate the breath signal from it. In this work, we use the visual image to detect the face and nose region to locate the ROI for breath signal extraction. To make the breath signal more obvious, we use the histogram equalization to enhance the contrast of thermal image. In addition, Kanade-Lucas-Tomasi (KLT) tracking method applies to track the subject to prevent the ROI location error. Then, Hilbert-Huang Transform (HHT) decomposes the breath signal into some intrinsic mode functions (IMFs). Finally, we count the approximate zero-crossing points correlated with breath-cycle to estimate the respiratory rate.
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