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.

• Type: Conference
• Year: 2008
• Where: AMDO
• Authors: José Miguel Buenaposada, Juan Bekios, Luis Baumela
• Keywords: AMDO 2008, Computer Graphics, Face Recognition, Single Gallery Image, Video Sequence