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

L. Frenkel, M. Feder

Research output: Contribution to journalConference articlepeer-review

Abstract

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

Original languageEnglish
Pages (from-to)2068-2071
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume3
StatePublished - 1995
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
Duration: 9 May 199512 May 1995

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