ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Disguised-Face Discriminator for Embedded Systems

  • Yun, Woo-Han (IT Convergence Technology Research Laboratory, ETRI) ;
  • Kim, Do-Hyung (IT Convergence Technology Research Laboratory, ETRI) ;
  • Yoon, Ho-Sub (IT Convergence Technology Research Laboratory, ETRI) ;
  • Lee, Jae-Yeon (IT Convergence Technology Research Laboratory, ETRI)
  • Received : 2010.03.15
  • Accepted : 2010.06.10
  • Published : 2010.10.31
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Abstract

In this paper, we introduce an improved adaptive boosting (AdaBoost) classifier and its application, a disguised-face discriminator that discriminates between bare and disguised faces. The proposed classifier is based on an AdaBoost learning algorithm and regression technique. In the process, the lookup table of AdaBoost learning is utilized. The proposed method is verified on the captured images under several real environments. Experimental results and analysis show the proposed method has a higher and faster performance than other well-known methods.

Keywords

References

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