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

Simon Maskell; Malcolm P. Rollason; Neil J. Gordon; David J. Salmond

doi:10.1117/12.478509

7 August 2002 Efficient particle filtering for multiple target tracking with application to tracking in structured images

Simon Maskell, Malcolm P. Rollason, Neil J. Gordon, David J. Salmond

Author Affiliations +

Proceedings Volume 4728, Signal and Data Processing of Small Targets 2002; (2002) https://doi.org/10.1117/12.478509
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

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Simon Maskell, Malcolm P. Rollason, Neil J. Gordon, and David J. Salmond "Efficient particle filtering for multiple target tracking with application to tracking in structured images", Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); https://doi.org/10.1117/12.478509

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