Scalable and adaptable tracking of humans in multiple camera systems

by Gilbert, A.

Type Thesis
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The aim of this thesis is to track objects on a network of cameras both within [intra) and across (inter) cameras. The algorithms must be adaptable to change and are learnt in a scalable approach. Uncalibrated cameras are used that are patially separated, and therefore tracking must be able to cope with object oclusions, illuminations changes, and gaps between cameras.

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Summary

The aim of this thesis is to track objects on a network of cameras both within [intra) and across (inter) cameras. The algorithms must be adaptable to change and are learnt in a scalable approach. Uncalibrated cameras are used that are patially separated, and therefore tracking must be able to cope with object oclusions, illuminations changes, and gaps between cameras.

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Edition Statements

  • Publication Date:2008

Thesis Information

  • Degree:Ph.D.
  • University:University of Surrey

Publication Statements

  • Language:eng
  • Publication Date:2008

Edition Identifiers

  • ethos:493224

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