Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
Robust Real-Time Face Detection
International Journal of Computer Vision
Bayesian Face Recognition using a Markov Chain Monte Carlo Method
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Multimedia Databases for Video Indexing: Toward Automatic Face Image Registration
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
A sequential monte carlo method for bayesian face recognition
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Recognition of facial expressions and measurement of levels of interest from video
IEEE Transactions on Multimedia
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
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The authors describe a face tracking and recognition system for video indexing that handles variable face poses left-right and up-down and deformations due to speech and facial expressions. The system is based on deformable template matching, and employs person-specific templates at near-frontal poses for recognition, and novel person-independent templates at multiple poses on the view-sphere for tracking. Relative to an earlier version that used multiple person-specific templates at multiple left-right poses, the new system speeds up processing by i restricting attention to skin-color regions; ii performing recognition using the person-specific templates at near-frontal poses only; and iii tracking at non-frontal poses using the novel person-independent templates. Registration is also simplified since multiple views of each target individual are no longer required, but at the cost of a loss of recognition functionality at poses far from frontal the system instead "remembers" the identity of each individual from near-frontal matches and tracks between them.