Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks

  • Authors:
  • Richard J. Howarth

  • Affiliations:
  • Department of Computer Science, Queen Mary, University of London, London, UK E1 4NS

  • Venue:
  • Artificial Intelligence Review
  • Year:
  • 2005

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Abstract

Spatial models play a key role when interpreting a dynamic and uncertain world for a wide-area surveillance application. This paper presents two different views to illustrate the range of spatial models. First, we take a top-down look, where we survey various work relevant to the development of spatial models and how they have been used in AI applications. Then we take a more bottom-up look, starting with a promising spatial primitive to identify a useful foundation that can support visual surveillance applications.