Unsupervised Real-Time Unusual Behavior Detection for Biometric-Assisted Visual Surveillance
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
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Tracking and recognition of objects in video sequences suffer from difficulties in learning appropriate object models. Often a high degree of supervision is required, including manual annotation of many training images. We aim at unsupervised learning ...