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Proceedings Paper

Efficient particle filtering for multiple target tracking with application to tracking in structured images
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Paper Abstract

For many dynamic estimation problems involving nonlinear and/or non-Gaussian models, particle filtering offers improved performance at the expense of computational effort. This paper describes a scheme for efficiently tracking multiple targets using particle filters. The tracking of the individual targets is made efficient through the use of Rao-Blackwellisation. The tracking of multiple targets is made practicable using Quasi-Monte Carlo integration. The efficiency of the approach is illustrated on synthetic data.

Paper Details

Date Published: 7 August 2002
PDF: 12 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478509
Show Author Affiliations
Simon Maskell, QinetiQ and Cambridge Univ. (United Kingdom)
Malcolm P. Rollason, QinetiQ (United Kingdom)
Neil J. Gordon, Cambridge Univ. (United Kingdom)
David J. Salmond, QinetiQ (United Kingdom)

Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

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