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Proceedings Paper

Real-time face tracking and recognition for video conferencing
Author(s): Nicolas Malasne; Fan Yang; Michel Paindavoine
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Paper Abstract

This paper describes a system of vision in real time, allowing to detect automatically the faces presence, to localize and to follow them in video sequences. We verify also the faces identities. These processes are based by combining technique of image processing and methods of neural networks. The tracking is realized with a strategy of prediction-verification using the dynamic information of the detection. The system has been evaluated quantitatively on 8 video sequences. The robustness of the method has been tested on various lightings images. We present also the analysis of complexity of this algorithm in order to realize an implementation in real time on a FPGA based architecture.

Paper Details

Date Published: 20 November 2001
PDF: 9 pages
Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); doi: 10.1117/12.448668
Show Author Affiliations
Nicolas Malasne, Univ. of Burgundy (France)
Fan Yang, Univ. of Burgundy (France)
Michel Paindavoine, Univ. of Burgundy (France)


Published in SPIE Proceedings Vol. 4474:
Advanced Signal Processing Algorithms, Architectures, and Implementations XI
Franklin T. Luk, Editor(s)

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