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The multiple hypothesis tracker derived from finite set statistics

Brekke, Edmund Førland; Chitre, Mandar
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fisst-mht-conf.pdf (265.5Kb)
URI
http://hdl.handle.net/11250/2468710
Date
2017
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  • Institutt for teknisk kybernetikk [4104]
  • Publikasjoner fra CRIStin - NTNU [41957]
Original version
10.23919/ICIF.2017.8009708
Abstract
The multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-target tracking. In this paper we show that the key formula for hypothesis probabilities in Reid's MHT can be derived from the modern theory of finite set statistics (FISST) insofar as appropriate assumptions (Poisson models for clutter and undetected targets, no target-death, linear-Gaussian Markov target kinematics) are adhered to.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)

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