A system identification approach for video-based face recognition

TitleA system identification approach for video-based face recognition
Publication TypeConference Papers
Year of Publication2004
AuthorsAggarwal G, Chowdhury AKR, Chellappa R
Conference NamePattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Date Published2004/08//
Keywordsand, autoregressive, average, dynamical, Face, gallery, identification;, image, linear, model;, moving, processes;, processing;, recognition;, sequences;, signal, system, system;, video, video-based

The paper poses video-to-video face recognition as a dynamical system identification and classification problem. We model a moving face as a linear dynamical system whose appearance changes with pose. An autoregressive and moving average (ARMA) model is used to represent such a system. The choice of ARMA model is based on its ability to take care of the change in appearance while modeling the dynamics of pose, expression etc. Recognition is performed using the concept of sub space angles to compute distances between probe and gallery video sequences. The results obtained are very promising given the extent of pose, expression and illumination variation in the video data used for experiments.