Advancement of an algorithm

Document Type

Conference Proceeding

Publication Date

1-1-2014

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

9092

Keywords

Expectation maximization, Histogram, Maximum likelihood, MDL, PMHT, Target tracking

Abstract

The Probabilistic Multi-Hypothesis Tracker (PMHT) was developed in the early 1990s by Roy Streit and Tod Luginbuhl. Since that time many advances and improvements have been made to this elegant algorithm that is linearly efficient in processing as the number of targets, sensors, and clutter increases. This paper documents the many advances to the PMHT by several different contributors over the past two decades. The history continues and looks as promising as ever for this algorithm as we present the latest advancement - the Maximum Likelihood, Histogram Probabilistic Multi-Hypothesis Tracker (ML-HPMHT) - and the exciting results of this potential game-changer in tracking unresolved, dim targets in highly cluttered environments. This new algorithm, which we are calling the Quanta Tracking algorithm, detects and tracks with high accuracy targets that are unresolved in pixels or range bins. © 2014 SPIE.

DOI

10.1117/12.2051355

ISSN

0277786X

E-ISSN

1996756X

ISBN

9781628410297

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