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Real Time Face Tracking and Recognition (RTFTR) is a computer vision project that performs the task of locating human faces in a video stream and recognizing those faces by matching them against the database of known faces. Most face recognition system have a fixed processing pathway consisting of face extraction/recognition (fe/fr) modules. So it is difficult to incorporate new algorithms in those systems. Hence a modular approach to the design of RTFTR system has been used to allow for easy incorporation of new fe/fr algorithms to the system. A flexible 6 stage processing pathway, for visual data, has been defined to realize this modular architecture. It also allows assessment of the collective performance of two or more algorithms when they work in unison. Keywords : Real Time Face Detection, Real Time Face Recognition, Gabor Wavelets, Neural Network, Adaboost, Subspace LDA, PCA, Cascade Detector

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