Paper
20 November 2001 Real-time face tracking and recognition for video conferencing
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicolas Malasne, Fan Yang, and Michel Paindavoine "Real-time face tracking and recognition for video conferencing", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448668
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KEYWORDS
Facial recognition systems

Video

Network architectures

Neural networks

Image analysis

Light sources and illumination

Image processing

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