Approach
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One
of the most reliable face detectors in digital images has been deveopled
by Rowley, Baluja and Kanade. It is described in the technical report CMU-CS-95-158R
(see Face Detector Demo at the Carnegie Mellon University). Their system
recognizes about 90% of all frontal faces while detecting only sporadic
non-faces as faces. We have recreated their proposed neural network-based
frontal face classification system and use it as a basis for our frontal
face detector in video sequences. See how well it works:
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Short
Demo Video (MPEG-1: 15MB,
Quicktime: 16.5MB)