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A smart camera for face recognition

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4 Author(s)
R. Kleihorst ; Philips Res. Lab., Eindhoven, Netherlands ; M. Reuvers ; B. Krose ; H. Broers

There is a rapidly growing demand for using smart cameras for various biometric applications in surveillance. Although having a small form-factor, most of these applications demand huge processing performance for real-time processing. Face recognition is one of those applications. In this paper we show that we can run face recognition in real-time by implementing the algorithm on an architecture which combines a parallel pixel processor: with a digital signal processor. The algorithm consists of a cascade of filters for detection, registration and normalization and an RBF neural network with temporal filtering. Everything fits within a digital camera, the size of a normal surveillance camera.

Published in:

Image Processing, 2004. ICIP '04. 2004 International Conference on  (Volume:5 )

Date of Conference:

24-27 Oct. 2004