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An immunological approach to raising alarms in video surveillance
journal contributionposted on 2005-01-01, 00:00 authored by L Sasmita, W Liu, Svetha VenkateshSvetha Venkatesh
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three detectors for detecting abnormal activity are generated using negative selection. Tracks gathered by people’s movements in a room are used for experimentation and results have shown that the classifier is able to discriminate abnormal from normal activities in terms of both trajectory and time spent at a location.