System, method, and apparatus for multiple face tracking

Image analysis – Applications – Personnel identification

Reexamination Certificate

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Details

C340S005830

Reexamination Certificate

active

06700999

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates to face tracking. More specifically, this invention relates to tracking of multiple faces in a digital video sequence.
2. Description of Related Art
Face tracking methods have potential applications in a wide range of fields including human-computer interaction, computer-assisted communication, and content-directed video encoding. However, many existing face tracking systems make simplifying assumptions about image context or content which may not be appropriate. For example, a system may assume that only one face will appear in a video frame. While this assumption may be reasonable for applications such as a single-player video game, it may not be appropriate for other applications such as video conferencing or encoding of video content for broadcast.
It is desirable to obtain automatic tracking of possibly multiple faces at a high accuracy and a low false alarm rate. It is also desirable to perform such a task while minimizing processor load, thereby allowing other tasks to be performed concurrently.


REFERENCES:
patent: 6111517 (2000-08-01), Atick et al.
Dorin Comaniciu et al., “Mean Shift analysis and applications”, The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp 1197-1203, 1999.*
Dorin Comaniciu et al., “Robust Analysis of Feature Spaces: Color Image Segmentation”, IEEE, pp750-755 , 1997.*
Raja Yogesh, et al., “Tracking and Segmenting people in varying lighting conditions using colour”, Proceedings. Thrid IEEE International Conference on Automatic Face and Gesture Recognition, pp228-233, 1998.*
Martin Hunke et al., “Face Locating and Tracking for Human-Computer Interaction”, IEEE, pp1277-1281, 1995.*
Gary R. Bradski, Intel Technology Journal, “Computer Vision Face Tracking for Use in a Perceptual User Interface”, Q2 1998, http://developer.intel.com/technology/itj/q21998/articles/art_2.htm.
Chellapa et al., Proceedings of the IEEE, “Human and Machine Recognition of Faces: A survey”, vol. 83, No. 5, pp. 705-740, May 1995.
Samal and lyengar, Pattern Recognition, “Automatic recognition and analysis of human faces and facial expressions: A survey”; vol. 25, No. 1, pp. 65-77, Jan. 1992.

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