Apperance-Based Tracking and Face Identification in Video Sequences

Authors:
José Miguel Buenaposada;Juan Bekios;Luis Baumela
Affiliations:
Dept. de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles, Spain 28933;Dept. de Ingeniería de Sistemas y Computación, Universidad Católica del Norte, Antofagasta, Chile 0610;Dept. Inteligencia Artificial, Facultad Informática, Universidad Politécnica de Madrid,
Venue:
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Year:
2008

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Abstract

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.