Exploiting Correlation Effects within Multiple-Hypothesis Tracking

Document Type

Article

Publication Date

5-2006

Abstract

Excerpt: The need to track closely spaced targets in clutter is essential in support of military operations. This paper presents a Multiple-Hypothesis Tracking (MHT) algorithm which uses an efficient structure to represent the dependency which naturally arises between targets due to the joint observation process, and an Integral Square Error (ISE) mixture reduction algorithm for hypothesis control. Abstract excerpt © Elsevier

Comments

The "Link to Full Text" button on this page loads the open access article version of record, hosted at Elsevier. The publisher retains permissions to re-use and distribute this article.

DOI

10.1016/j.mcm.2005.05.033

Source Publication

Mathematical and Computer Modelling

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