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PersonSpotter-fast and robust system for human detection, tracking and recognition

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3 Author(s)
Steffens, J. ; Eyematic Interfaces Inc., Santa Monica, CA, USA ; Elagin, E. ; Neven, H.

The authors present a real-time face recognition system which is able to capture, track and recognize a person walking toward a stereo CCD camera. The system is built for real world applications where environmental conditions like illumination, background structure and room architecture are specified only roughly or not at all. The program is implemented on a 4-processor system running UNIX and reaches a recognition speed of 6-8 persons per minute

Published in:

Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on

Date of Conference:

14-16 Apr 1998