Abstract
We describe a face tracking and recognition system for video and multimedia indexing that handles face regions at variable face poses (left-right and up-down), and deformations due to facial expressions and speech, by employing person-independent deformable templates at multiple poses on the view-sphere. An earlier version of the system handled variable poses (left-right only) by employing person-specific templates registered for each target individual at multiple poses. The new system speeds up processing by (i) extracting and restricting attention to skin-color regions, (ii) performing recognition using person-specific templates at near-frontal poses only, and (iii) tracking at non-frontal poses using the person-independent templates. Registration is also simplified, since multiple views of each target individual are no longer required, 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). We describe the skin region extraction process and the process by which the person-independent templates are constructed off-line from bootstrap face images of multiple non-target individuals, and we present experimental results showing the system in operation. Finally we discuss remaining issues in the practical application of the system to video and multimedia archive indexing.
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