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Automatic Face Region Detection and Tracking for Robustness in Rotation using the Estimation Function

평가 함수를 사용하여 회전에 강건한 자동 얼굴 영역 검출과 추적

  • 김기상 (숭실대학교 일반대학원 컴퓨터학과) ;
  • 김계영 (숭실대학교 일반대학원 컴퓨터학과) ;
  • 최형일 (숭실대학교 일반대학원 미디어학과)
  • Published : 2008.09.28

Abstract

In this paper, we proposed automatic face detection and tracking which is robustness in rotation. To detect a face image in complicated background and various illuminating conditions, we used face skin color detection. we used Harris corner detector for extract facial feature points. After that, we need to track these feature points. In traditional method, Lucas-Kanade feature tracker doesn't delete useless feature points by occlusion in current scene (face rotation or out of camera). So we proposed the estimation function, which delete useless feature points. The method of delete useless feature points is estimation value at each pyramidal level. When the face was occlusion, we deleted these feature points. This can be robustness to face rotation and out of camera. In experimental results, we assess that using estimation function is better than traditional feature tracker.

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