H-PMHT for correlated targets

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dc.contributor.authorDavey, S.
dc.contributor.authorWieneke, M.
dc.contributor.authorGordon, N.
dc.contributor.conferenceSignal and Data Processing of Small Targets (2012 : Baltimore, Maryland)
dc.date.issued2012
dc.description.abstractThe 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. © 2012 SPIE.
dc.description.statementofresponsibilitySamuel J. Davey ; Monika Wieneke ; Neil J. Gordon
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, 2012; 8393:83930R
dc.identifier.doi10.1117/12.919511
dc.identifier.isbn9780819490711
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/2440/80475
dc.language.isoen
dc.publisherSPIE
dc.rights© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE)
dc.source.urihttps://doi.org/10.1117/12.919511
dc.titleH-PMHT for correlated targets
dc.typeConference paper
pubs.publication-statusPublished

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