EURASIP Journal on Advances in Signal Processing (Jan 2007)

Robust Real-Time Tracking for Visual Surveillance

  • Martin Kampel,
  • James Ferryman,
  • Horst Wildenauer,
  • Josep Aguilera,
  • Mark Borg,
  • David Thirde

DOI
https://doi.org/10.1155/2007/96568
Journal volume & issue
Vol. 2007

Abstract

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This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component modules described in this paper are (i) motion detection using a layered background model, (ii) object tracking based on local appearance, (iii) hierarchical object recognition, and (iv) fused multisensor object tracking using multiple features and geometric constraints. This integrated approach to complex scene tracking is validated against a number of representative real-world scenarios to show that robust, real-time analysis can be performed.