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Abstract

We present a real-time face tracker in this paper. The system has achieved a rate of 30+ frames/second using an HP-9000 workstation with a framegrabber and a Canon VC-C1 cam era. It can track a person's face while the person moves freely (e.g., walks, jumps, sits down and stands up) in a room. Three types of models have been employed in developing the sys tem. First, we present a stochastic model to characterize skin-color distributions of human faces. The information provided by the model is sufficient for tracking a human face in various poses and views. This model is adaptable to differ ent people and different lighting conditions in real-time. Sec ond, a motion model is used to estimate image motion and to predict search window. Third, a camera model is used to pre dict and to compensate for camera motion. The system can be applied to tele-conferencing and many HCI applications including lip-reading and gaze tracking. The principle in de veloping this system can be extended to other tracking prob lems such as tracking the human hand.

Notes

Text Reference

Jie Yang and , "A Real-time Face Tracker," Proceedings of WACV'96, 1996.

BibTeX Reference

@inproceedings{Yang_1996_2007,
   author = "Jie Yang and ",
   title = "A Real-time Face Tracker",
   booktitle = "Proceedings of WACV'96",
   year = "1996",
}

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