Video-based face recognition using adaptive hidden Markov models

By Xiaoming Liu, Tsuhan Chen. 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003

347 citations recorded by the source corpus.

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Recent advances in visual and infrared face recognition - a review (2005, methodology): “HMMs have been used in the temporal domain to perform face recognition in video signals, considering each frame in the video sequence as an observation [133].”
Face tracking and recognition with visual constraints in real-world videos (2008, methodology): “To demonstrate the benefit of LDA features, we compared our LDA based model to the one that utilizes PCAbased features of varying dimension, as in [17].”
Robust Visual Tracking and Vehicle Classification via Sparse Representation (2011, background): “Previous studies have shown the effectiveness of simultaneous tracking and recognition on certain cases [15], [47], [36], [29], [39], [35].”
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations (2007, result): “Whereas most of the previous work on matching image sets for object recognition exploits temporal coherence between consecutive images [20], [21], [11], [22], [28], this study does not make any such assumption.”
Manifold-Manifold Distance with application to face recognition based on image set (2008, methodology): “However, since this paper mainly focuses on problems in which the samples in the image sets are unordered, those previous works using video dynamics [12], [14], [15], [20], [31] are less mentioned in this section.”