How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms

Dee, Hannah M. and Velastin, Sergio A. (2008) How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms. Machine Vision and Applications, 19(5-6), pp. 329-343. ISSN (print) 0932-8092

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Item Type: Article
Additional Information: This work was supported by the Engineering and Physical Sciences Research Council.
Uncontrolled Keywords: hidden Markov-models, recognition, behavior, framework, patterns, tracking
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Computing, Information Systems and Mathematics (until 2011)
Faculty of Computing, Information Systems and Mathematics (until 2011) > Digital Imaging Research Centre (DIRC)
Depositing User: Automatic Import Agent
Date Deposited: 22 Jan 2010 14:13
Last Modified: 22 Oct 2010 08:37
URI: http://eprints.kingston.ac.uk/id/eprint/8427

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