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An immunological approach to raising alarms in video surveillance

Sasmita, Lukman, Liu, Wanquan and Venkatesh, Svetha 2005, An immunological approach to raising alarms in video surveillance, GESTS international transactions on computer science and engineering, vol. 2, pp. 191-199.

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Title An immunological approach to raising alarms in video surveillance
Author(s) Sasmita, Lukman
Liu, Wanquan
Venkatesh, Svetha
Journal name GESTS international transactions on computer science and engineering
Volume number 2
Start page 191
End page 199
Total pages 9
Publisher Global Engineering, Science, and Technology Society
Publication date 2005
ISSN 1738-6438
Summary 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.
Language eng
Field of Research 080104 Computer Vision
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C2.1 Other contribution to refereed journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044305

Document type: Journal Article
Collection: School of Information Technology
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