Open Access#12006
Exploiting Correlation Effects within Multiple-Hypothesis Tracking
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