Real time face tracking with pyramidal Lucas-Kanade feature tracker

  • Authors:
  • Ki-Sang Kim;Dae-Sik Jang;Hyung-Il Choi

  • Affiliations:
  • School of Media, Soongsil University, Seoul, Korea;School of Computer Information Science, Kunsan University, Kunsan, Korea;School of Media, Soongsil University, Seoul, Korea

  • Venue:
  • ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
  • Year:
  • 2007

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Abstract

In this paper, we present a face tracking and detection algorithm in real time camera input environment. To trace and extract a face image in complicated background and various illuminating conditions, we used pyramidal Lucas-Kanade feature tracker. Also we used KLT algorithm, which has robustness for rotated facial image, to extract the distinguishing feature of face area.