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We describe a database of static images and video clips of human faces and people that is useful for testing algorithms for face and person recognition, head/eye tracking, and computer graphics modeling of natural human motions. For each person there are nine static "facial mug shots” and a series of video streams. The videos include a "moving facial mug shot,” a facial speech clip, one or more dynamic facial expression clips, two gait videos, and a conversation video taken at a moderate distance from the camera. Complete data sets are available for 284 subjects and duplicate data sets, taken subsequent to the original set, are available for 229 subjects.
Face database, face recognition, face tracking, digital video.

A. J. O'Toole et al., "A Video Database of Moving Faces and People," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 27, no. , pp. 812-816, 2005.
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