Journal of Korea Society of Industrial Information Systems (한국산업정보학회논문지)

Korea Society of Industrial Information Systems (한국산업정보학회)
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Improving the Processing Speed and Robustness of Face Detection for a Psychological Robot Application

심리로봇적용을 위한 얼굴 영역 처리 속도 향상 및 강인한 얼굴 검출 방법

  • 류정탁 (대구대학교 전자공학과) ;
  • 양진모 (대구대학교 전자공학과) ;
  • 최영숙 (대구대학교 전자공학과) ;
  • 박세현 (대구대학교 멀티미디어공학과)
  • Received : 2015.03.01
  • Accepted : 2015.04.08
  • Published : 2015.04.30
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Abstract

Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.

얼굴 표정인식 기술은 다른 감정인식기술에 비해 비접촉성, 비강제성, 편리성의 특징을 가지고 있다. 비전 기술을 심리로봇에 적용하기 위해서는 표정인식을 하기 전 단계에서 얼굴 영역을 정확하고 빠르게 추출할 수 있어야 한다. 본 논문에서는 성능이 향상된 얼굴영역 검출을 위해서 먼저 영상에서 YCbCr 피부색 색상 정보를 이용하여 배경을 제거하고 상태 기반 방법인 Haar-like Feature 방법을 이용하였다. 입력영상에 대하여 배경을 제거함으로써 처리속도가 향상된, 배경에 강건한 얼굴검출 결과를 얻을 수 있었다.

Keywords

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