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Infrared human face detection based on SVM method

Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
As a fundamental task in many applications, human face detection is one of the most active research field at present. Most of the research works are confined to visual light image. The potential for illumination invariant feature of the Infrared image has received little attention. The SARS epidemic resulted in the introduction of IR thermal camera for non-voluntary screening on human face for fever symptoms, but they are not working in an automatic way. This paper present an human face auto detection method based on SVM. The inherent consistency of SVM with the problem is discussed. 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.
Twórcy
autor
autor
autor
  • Automation Department, WuHan University of Technology
Bibliografia
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  • [10] D. Socolinsky, L. Wolff, J. Neuheisel, and C. Eveland. Illumination invariant face recognition using thermal infrared imagery. In IEEE Workshop Compute. Vis. Beyond Vis. Spectrum: Method Appl, volume 1, pages 527-534, 2001.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0017-0077
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