A real-time face tracker for color video

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Spors S, Rabenstein R
Publication year: 2001
Volume: 3
Pages range: 1493-1496


Abstract


This paper presents a face localization and tracking algorithm which is based upon skin color detection and principle component analysis (PCA) based eye localization. Skin color segmentation is performed using statistical models for human skin color. The skin color segmentation task results in a mask marking the skin color regions in the actual frame, which is further used to compute the position and size of the dominant facial region utilizing a robust statistics-based localization method. To improve the results of skin color segmentation a foreground/background segmentation and an adaptive background update scheme were added. Additionally the derived face position is tracked with an Kalman filter. To overcome the problem of skin color ambiguity an eye detection algorithm based upon the principle component analysis (PCA) is presented.



FAU Authors / FAU Editors

Rabenstein, Rudolf Prof. Dr.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Spors, S., & Rabenstein, R. (2001). A real-time face tracker for color video. (pp. 1493-1496). Salt Lake, UT, US.

MLA:
Spors, Sascha, and Rudolf Rabenstein. "A real-time face tracker for color video." Proceedings of the 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, Salt Lake, UT 2001. 1493-1496.

BibTeX: 

Last updated on 2018-08-08 at 03:03