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CCTV Video Analytics: Recent Advances and Limitations

  • Conference paper
Visual Informatics: Bridging Research and Practice (IVIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5857))

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Abstract

There has been a significant increase in the number of CCTV cameras in public and private places worldwide. The cost of monitoring these cameras manually and of reviewing recorded video is prohibitive and therefore manual systems tend to be used mainly reactively with only a small fraction of the cameras being monitored at any given time. There is a need to automate at least simple observation tasks through computer vision, a functionality that has become known popularly as “video analytics”. The large size of CCTV systems and the requirement of high detection rates and low false alarms are major challenges. This paper illustrates some of the recent efforts reported in the literature, highlighting advances and pointing out important limitations.

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Author information

Authors and Affiliations

  1. Digital Imaging Research Centre, Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames, KT1 2EE, United Kingdom

    Sergio A. Velastin

Authors
  1. Sergio A. Velastin
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, United Kingdom

    Peter Robinson

  3. Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College, SW7 2AZ, London, UK

    Maria Petrou

  4. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  5. School of Computer Science and Information Technology, RMIT University, GPO Box 2476, 3001, Melbourne, Victoria, Australia

    Heiko Schröder

  6. Department of Computer Science and Information Engineering, Tamkang University, Tamkang University,, Taiwan

    Timothy K. Shih

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© 2009 Springer-Verlag Berlin Heidelberg

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Velastin, S.A. (2009). CCTV Video Analytics: Recent Advances and Limitations. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-05036-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05035-0

  • Online ISBN: 978-3-642-05036-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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