An immunological approach to raising alarms in video surveillance

Authors:
Lukman Sasmita;Wanquan Liu;Svetha Venkatesh
Affiliations:
Curtin University of Technology, Perth, Western Australia;Curtin University of Technology, Perth, Western Australia;Curtin University of Technology, Perth, Western Australia
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

Citing 2
Cited 0

Learning Patterns of Activity Using Real-Time Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Architecture for an Artificial Immune System

Evolutionary Computation

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Abstract

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 types of detectors for detecting abnormal activity are developed 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.