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Proceedings Paper

H-PMHT for correlated targets
Author(s): Samuel J. Davey; Monika Wieneke; Neil J. Gordon
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Paper Abstract

The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) is a parametric track-before-detect algorithm that has been shown to give good performance at a relatively low computation cost. Recent research has extended the algorithm to allow it to estimate the signature of targets in the sensor image. This paper shows how this approach can be adapted to address the problem of group target tracking where the motion of several targets is correlated. The group structure is treated as the target signature, resulting in a two-tiered estimator for the group bulk-state and group element relative position.

Paper Details

Date Published: 15 May 2012
PDF: 11 pages
Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930R (15 May 2012); doi: 10.1117/12.919511
Show Author Affiliations
Samuel J. Davey, Defence Science and Technology Organisation (Australia)
Monika Wieneke, Univ. of Bonn (Germany)
Neil J. Gordon, Defence Science and Technology Organisation (Australia)

Published in SPIE Proceedings Vol. 8393:
Signal and Data Processing of Small Targets 2012
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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