Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Open Set Face Recognition Using Transduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Interactive person-retrieval in TV series and distributed surveillance video
Proceedings of the international conference on Multimedia
Efficient person identification using active cameras in a smartroom
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Robust open-set face recognition for small-scale convenience applications
Proceedings of the 32nd DAGM conference on Pattern recognition
Person re-identification in TV series using robust face recognition and user feedback
Multimedia Tools and Applications
Dynamic multi-objective evolution of classifier ensembles for video face recognition
Applied Soft Computing
Face recognition for web-scale datasets
Computer Vision and Image Understanding
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This work presents a real-world, real-time video-based open-set face recognition system. The system has been developed as a visitor interface, where a visitor looks at the monitor to read the displayed message before knocking on the door. While the visitor is reading the welcome message, using the images captured by the webcam located on the screen, the developed face recognition system identifies the person without requiring explicit cooperation. According to the identity of the person, customized information about the host is conveyed. To evaluate the system's performance in this application scenario, a face database has been collected in front of an office. The experimental results on the collected database show that the developed system can operate reliably under real-world conditions.