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Real time face tracking with pyramidal Lucas-Kanade feature tracker
- Kim, K.-S.;
- Jang, D.-S.;
- Choi, H.-I.
초록
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. © Springer-Verlag Berlin Heidelberg 2007.
- 제목
- Real time face tracking with pyramidal Lucas-Kanade feature tracker
- 저자
- Kim, K.-S.; Jang, D.-S.; Choi, H.-I.
- 발행일
- 2007
- 학회명
- International Conference on Computational Science and its Applications, ICCSA 2007
- 개최지
- Kuala Lumpur
- 학회 개최일
- 2007-08-26 ~ 2007-08-29