In most multiple hypothesis tracking (MHT) implementations, the data association is solved using Murty's algorithm. However, since Murty's algorithm has no control over the diversity of measurement-to-track associations, often, the top associations vary only slightly. To overcome this problem and to provide more flexibility in the selection of hypotheses, a modified Murty's algorithm, which can achieve any user-defined (or adaptable) diversity of association of different types of tracks, is proposed.
Modified Murty's Algorithm for Diverse Multitarget Top Hypothesis Extraction
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 1 ; 602-610
2013-01-01
1104764 byte
Article (Journal)
Electronic Resource
English
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