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

Author

Xiaoyu, Wang ; Jihong, Chen ; Pingjiang, Wang ; Zhihong, Huang

Author_Institution

Nat. Numeric Control Syst. Eng. Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan

Volume

2

fYear

2006

Firstpage

1066

Lastpage

1072

Abstract

The SARS epidemic resulted in the introduction of IR thermal camera for non-voluntary screening on human face for fever symptoms. However, two major problems emerged. One is the temperature measurement precision, which is not adequate enough. The other is the poor automatic ability. This paper analyses the importance and deals with the second automation problem. We discuss the inherent consistency of SVM with the pattern recognition in infrared image. A smart biometrics system that automatically detects human face in infrared video and performs temperature measurement is implemented. The potential for illumination invariant face recognition using thermal IR imagery is fully utilized. This potentiality is approved by the result of infrared human face detection experiment based on C-SVM

Keywords

biometrics (access control); diseases; face recognition; infrared imaging; support vector machines; SARS epidemic; SVM; illumination invariant face recognition; infrared human face autodetection; infrared image; pattern recognition; severe acute respiratory syndrome; smart thermal biometrics system; support vector machine; thermal IR imagery; Automation; Biometrics; Cameras; Face detection; Humans; Infrared detectors; Infrared imaging; Pattern recognition; Support vector machines; Temperature measurement; Face Detection.; Infrared Camera; Severe Acute Respiratory Syndrome (SARS); Support Vector Machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253759

Filename

4021811