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AMDO
2008
Springer

Apperance-Based Tracking and Face Identification in Video Sequences

9 years 11 months ago
Apperance-Based Tracking and Face Identification in Video Sequences
We present a technique for face recognition in videos. We are able to recognise a face in a video sequence, given a single gallery image. By assuming that the face is in an approximately frontal position, we jointly model changes in facial appearance caused by identity and illumination. The identity of a face is described by a vector of appearance parameters. We use an angular distance to measure the similarity of faces and a probabilistic procedure to accumulate evidence for recognition along the sequence. We achieve 93.8% recognition success in a set of 65 sequences of 6 subjects from the LaCascia and Sclaroff database.
José Miguel Buenaposada, Juan Bekios, Luis
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where AMDO
Authors José Miguel Buenaposada, Juan Bekios, Luis Baumela
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