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. Attached Files Name Description MIMEType Size Downloads Title An immunological approach to raising alarms in video surveillance Author(s) Sasmita, Lukman Liu, Wanquan 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 20 Apr 2012, 13:24:03 EST Mon, 23 Apr 2012, 12:15:38 EST Mon, 23 Apr 2012, 12:17:58 EST Mon, 30 Apr 2012, 10:00:39 EST Tue, 01 May 2012, 08:36:22 EST Thu, 20 Nov 2014, 11:00:06 EST Sat, 21 Oct 2017, 02:02:29 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 514 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 13:24:03 EST

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