Thresholding-Based Feature Detection in Thermal Imaging
A method to detect facial features using thresholding in thermal images is presented. A subject’s face is detected in an image after extracting the subject from unwanted image background. The face is then detected and tracked in subsequent images in real-time. The inner corners of the two eyes are then located on the face and also tracked. The nose, which is below the detected corners, is then searched for and located. The detected corners of the eyes and nose were enclosed in circles and rectangle respectively to indicate detection and tracking. The computation time for each frame was about 25 ms, making this method suitable for real-time applications especially towards non-contact respiration monitoring.
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