Face recognition of video sequences in a MPEG-7 context using a global eigen approach

Abstract

An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented by Lorente and Torres, (1998). The scheme is based on the representation of the face images using the so called eigenfaces, generated performing a PCA (Principal Components Analysis). The data base used was designed for still image recognition and the corresponding images were very controlled. That is, the test images had controlled expression, orientation and lighting variations. Preliminary results were shown using only a frontal view image by person in the training set. In this paper, we present our first results for face recognition of video sequences. To that end, we have modified our original scheme in such a way that is able to cope with the different face conditions present in a video sequence. The main and final objective is to develop a tool to be used in the MPEG-7 standardization effort to help video indexing activities. The system is not yet fully automatic, but an automatic facial point location is under development. Good results have been obtained using the video test sequences used in the MPEG-7 evaluation group.