Background updating for visual surveillance

  • Authors:
  • Kyungnam Kim;David Harwood;Larry S. Davis

  • Affiliations:
  • IPIX Corporation, Reston, VA;Computer Vision Lab, University of Maryland, College Park, MD;Computer Vision Lab, University of Maryland, College Park, MD

  • Venue:
  • ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
  • Year:
  • 2005

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Abstract

Scene changes such as moved objects, parked vehicles, or opened/closed doors need to be carefully handled so that interesting foreground targets can be detected along with the short-term background layers created by those changes. A simple layered modeling technique is embedded into a codebook-based background subtraction algorithm to update a background model. In addition, important issues related to background updating for visual surveillance are discussed. Experimental results on surveillance examples, such as unloaded packages and unattended objects, are presented by showing those objects as short-term background layers.