Face Tracking System Based on Color, Stereovision and Elliptical Shape Features

  title={Face Tracking System Based on Color, Stereovision and Elliptical Shape Features},
  author={Bogdan Kwolek},
In this paper we present a vision system that performs tracking a human face in 3D. To achieve this we combine color and stereo cues to find likely image regions where face may exist. A greedy search algorithm examines for a face candidate focusing the action around the position of the face which was detected in the previous time step. The aim of the search is to find the best-fit head ellipse. The size of the searched ellipse projected into image is scaled depending on the depth information… CONTINUE READING
Highly Cited
This paper has 27 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 14 extracted citations


Publications referenced by this paper.
Showing 1-10 of 23 references

A real-time face tracker

View 4 Excerpts
Highly Influenced

Bayesian methods for face recognition from video

2002 IEEE International Conference on Acoustics, Speech, and Signal Processing • 2002
View 1 Excerpt

Localization of human faces fusing color segmentation and depth from stereo

ETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597) • 2001
View 1 Excerpt

Similar Papers

Loading similar papers…