대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

Convex hull과 Robust Hausdorff Distance를 이용한 실시간 얼굴 트래킹

A New Face Tracking Algorithm Using Convex-hull and Hausdorff Distance

  • 박민식 (연세대학교 전기 전자공학과 지능제어 연구실) ;
  • 박창우 (연세대학교 전기 전자공학과 지능제어 연구실) ;
  • 박민용 (연세대학교 전기 전자공학과 지능제어 연구실)
  • Park, Min-Sik (ICS Lab. Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Chang-U (ICS Lab. Dept. of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Min-Yong (ICS Lab. Dept. of Electrical and Electronic Engineering, Yonsei University)
  • 발행 : 2001.11.24
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초록

This paper describes a system for tracking a face in a input video sequence using facial convex hull based facial segmentation and a robust hausdorff distance. The algorithm adapts YCbCr color model for classifying face region by [l]. Then, we obtain an initial face model with preprocessing and convex hull. For tracking, a Robust Hausdorff distance is computed and the best possible displacement is selected. Finally, the previous face model is updated using the displacement t. It is robust to some noises and outliers. We provide an example to illustrate the proposed tracking algorithm in video sequences obtained from CCD camera.

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