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Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterised Likelihood Function

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Publication date12/2012
Host publicationMonte Carlo Methods and Applications : Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29 - September 2, 2011, Borovets, Bulgaria
EditorsKarl K. Sabelfeld, Ivan Dimov
PublisherDe Gruyter
Number of pages10
ISBN (Electronic)9783110293586
<mark>Original language</mark>English

Publication series

NameDe Gruyter Proceedings in Mathematics
PublisherDe Gruyter


Group objects are characterised with multiple measurements originating from
different locations of the targets constituting the group. This paper presents a novel Sequential Monte Carlo approach for tracking groups with a large number of components, applicable to various nonlinear problems. The novelty in this work is in the derivation of the likelihood function for nonlinear measurement functions, with sets of measurements belonging to a bounded spatial region. Simulation results are presented when a group of 50 objects is surrounded by a circular region. Estimation results are given for the group object center and extent.