CCTV Video Analytics: Recent Advances and Limitations

  • Sergio A. Velastin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5857)


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.


Closed-circuit television video analytics visual surveillance image processing security crowd-monitoring tracking object detection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sergio A. Velastin
    • 1
  1. 1.Digital Imaging Research Centre, Faculty of Computing, Information Systems and MathematicsKingston UniversityKingston upon ThamesUnited Kingdom

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