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Accurate murty's algorithm for multitarget top...
Conference

Accurate murty's algorithm for multitarget top hypothesis extraction

Abstract

In most hypothesis-oriented Multiple Hypothesis Tracking (MHT) implementations, the target-to-measurement data association is typically solved by using the Murty's algorithm. However, the Murty's algorithm has no control over the diversity of target-to-measurement associations - often the top associations vary only slightly. In addition, in practical tracking solutions, tracks are often grouped as tentative or continued. It was observed with …

Authors

He X; Tharmarasa R; Pelletier M; Kirubarajan T

Publication Date

September 13, 2011

Conference proceedings

Fusion 2011 14th International Conference on Information Fusion