Infrared Human Face Auto Locating Based on SVM and A Smart Thermal Biometrics System

Fever detection for dynamic human environment using sensor fusion

“…Improving effectiveness of infrared thermography in mass screening of moving people can be achieved by temperature measurement accuracy and system automation [29]. Automation here means capability of recognizing human faces in infrared images automatically.…”

“…Automation here means capability of recognizing human faces in infrared images automatically. If the device works in a self-administered way, the impact of the radiating heat sources in fever screening can be fulfilled [29], because position of human faces in infrared images is a vital factor to be addressed for rectifying the infrared thermography performance in mass screening of moving people for SARS recognition.…”

“…Automatic face recognition in infrared images for fever screening is investigated using image processing algorithms such as temperature thresholding [28] and using smart biometrics system [29]. Two major concerns of using IR camera for fever screening, which are temperature measurement accuracy and capability of automatic screening are addressed in [28] [29].…”

“…Two major concerns of using IR camera for fever screening, which are temperature measurement accuracy and capability of automatic screening are addressed in [28] [29]. Support Vector Machine (SVM) and pattern recognition methods are used to find face regions in infrared images.…”

“…Support Vector Machine (SVM) and pattern recognition methods are used to find face regions in infrared images. Manually selected face regions with a scale ratio of 20 by 20 by experts are used as training vectors for SVM methods [29]. A false negative rate (locations that include a face region but not detected) of 3.73% was fulfilled via this method.…”