Automated Visual Surveillance in Realistic Scenarios

  • Authors:
  • Mubarak Shah;Omar Javed;Khurram Shafique

  • Affiliations:
  • University of Central Florida;Object Video;Object Video

  • Venue:
  • IEEE MultiMedia
  • Year:
  • 2007

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Abstract

In this article, we present Knight, an automated surveillance system deployed in a variety of real-world scenarios ranging from railway security to law enforcement. We also discuss the challenges of developing surveillance systems, present some solutions implemented in Knight that overcome these challenges, and evaluate Knight's performance in unconstrained environments.