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An immunological approach to raising alarms in video surveillance

Sasmita, Lukman, Liu, Wanquan and Venkatesh, Svetha 2004, An immunological approach to raising alarms in video surveillance. In Aizawa, Kiyoharu, Nakamura, Yuichi and Satoh, Shin’ichi (ed), Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part III, Springer-Verlag, Berlin, Germany, pp.79-86, doi: 10.1007/978-3-540-30543-9_11.

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Title An immunological approach to raising alarms in video surveillance
Author(s) Sasmita, Lukman
Liu, Wanquan
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Title of book Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part III
Editor(s) Aizawa, Kiyoharu
Nakamura, Yuichi
Satoh, Shin’ichi
Publication date 2004
Series Lecture notes in computer science ; 3333
Chapter number 11
Total chapters 96
Start page 79
End page 86
Total pages 8
Publisher Springer-Verlag
Place of Publication Berlin, Germany
Keyword(s) abnormal activity
sensor
immune system
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 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.
ISBN 9783540239857
3540239855
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-540-30543-9_11
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1.1 Book chapter
Copyright notice ©2004, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044664

Document type: Book Chapter
Collection: School of Information Technology
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