대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2007년도 하계종합학술대회 논문집
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- Pages.339-340
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- 2007
단계형 구조를 이용한 실시간 얼굴 탐지 시스템
Rotation Invariant Real-time Face Detection Using Cascade Structure In Color Images
- Kim, Seung-Goo (Department of Electric and Computer Engineering Korea University) ;
- Kim, Hye-Soo (Department of Electric and Computer Engineering Korea University) ;
- Ko, Sung-Jea (Department of Electric and Computer Engineering Korea University)
- 발행 : 2007.07.11
초록
Face detection plays an important role in HCI and face recognition. In this paper, we propose a rotation-invariant real-time face detection algorithm for color images in complex background. It consists of four processing step: (1) motion detection, (2) skin color region filler, (3) Eyemap detector for rotated face, and (4) Adaboost face classifier. This system has been tested in in-door environments, such as office and achieves over 95% detection rate.
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