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

机译:基于支持向量机和智能热生物识别系统的红外人脸自动定位

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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
机译:SARS流行导致引入红外热像仪,以非自愿方式对人的面部进行发烧症状筛查。但是,出现了两个主要问题。一种是温度测量精度,这还不够。另一个是自动能力差。本文分析了重要性并解决了第二个自动化问题。我们讨论了SVM与红外图像中模式识别的内在一致性。实现了一种智能生物识别系统,该系统可以自动检测红外视频中的人脸并执行温度测量。充分利用了利用热红外图像进行照明不变的面部识别的潜力。这种潜力已经通过基于C-SVM的红外人脸检测实验的结果得到了认可

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