Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking

Liron Frenkel*, Meir Feder

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the application of expectationmaximization (EM) algorithms to the classical problem of multiple target tracking (MTT) for a known number of targets. Conventional algorithms, which deal with this problem, have a computational complexity that depends exponentially on the number of targets, and usually divide the problem into a localization stage and a tracking stage. The new algorithms achieve a linear dependency and integrate these two stages. Three optimization criteria are proposed,: using deterministic and stochastic dynamic models for the targets.

Original languageEnglish
Pages (from-to)306-320
Number of pages15
JournalIEEE Transactions on Signal Processing
Volume47
Issue number2
DOIs
StatePublished - 1999
Externally publishedYes

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