Identity Management in Face Recognition Systems
Biometrics and Identity Management
Audio-guided video-based face recognition
IEEE Transactions on Circuits and Systems for Video Technology
Frame synchronization and multi-level subspace analysis for video based face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Video based face recognition using multiple classifiers
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Tracking and recognition of multiple faces at distances
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Face recognition in videos: a graph based modified kernel discriminant analysis
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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A new exemplar-based probabilistic approach for face recognition in video sequences is presented. The approach has two stages: First, Exemplars, which are selected representatives from the raw video, are automatically extracted from gallery videos. The exemplars are used to summarize the gallery video information.In the second part, exemplars are then used as centers for probabilistic mixture distributions for the tracking and recognition process. Probabilistic methods are attractive in this context as they allow a systematic handling of uncertainty and an elegant way for fusing temporal information.Contrary to some previous video-based approaches, our approach is not limited to a certain image representation. It rather enhances known ones, such as the PCA, with temporal fusion and uncertainty handling. Experiments demonstrate the effectiveness of each of the two stages. We tested this approach on more than 100 training and testing sequences, with 25 different individuals.