Implementation of Background Modelling and Evolving Fuzzy Rule – based Classifier for Real-Time Novelty Detection and Landmark Recognition


The important role of surveillance and control systems in maintaining human safety in nowadays life creates a vast field for designing algorithms to fulfill security. This thesis demonstrates the procedures of implementing background modeling and evolving fuzzy rule-based classifier (eClass) for real – time novelty detection and object tracking. Initially… (More)


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