Automated safety control by video cameras

  • Authors:
  • Iulia Lefter;Leon Rothkrantz;Maarten Somhorst

  • Affiliations:
  • Delft University of Technology and Netherlands Defence Academy;Netherlands Defence Academy and Delft University of Technology;Delft University of Technology

  • Venue:
  • Proceedings of the 13th International Conference on Computer Systems and Technologies
  • Year:
  • 2012

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Abstract

At this moment many surveillance systems are installed in public domains to control the safety of people and properties. They are constantly watched by human operators who are easily overloaded. To support the human operators, a surveillance system model is designed that detects suspicious behaviour in a non-public area. Its task is to alert the operators about suspicious events to give them the chance to investigate and take action. A prototype application has been implemented using state-of-the-art techniques from Computer Vision and Artificial Intelligence.