Overview of Dempster-Shafer and belief function tracking methods

Erik Blasch; Jean Dezert; B. Pannetier

doi:10.1117/12.2016326

23 May 2013 Overview of Dempster-Shafer and belief function tracking methods

Erik Blasch, Jean Dezert, B. Pannetier

Proceedings Volume 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII; 874506 (2013) https://doi.org/10.1117/12.2016326
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Over the years, there have been many proposed methods in set-based tracking. One example of set-based methods is the use of Dempster-Shafer (DS) techniques to support belief-function (BF) tracking. In this paper, we overview the issues and concepts that motivated DS methods for simultaneous tracking and classification/identification. DS methods have some attributes, if applied correctly; but there are some pitfalls that need to be carefully avoided such as the redistribution of the mass associated with conflicting measurements. Such comparisons and applications are found in Dezert-Smarandache Theory (DSmT) methods from which the Proportional Conflict Redistribution (PCR5) rule supports a more comprehensive approach towards applying evidential and BF techniques to target tracking. In the paper, we overview two decades of research in the area of BF tracking and conclude with a comparative analysis of Bayesian, Dempster-Shafer, and the PCR5 methods.

Citation Download Citation

Erik Blasch, Jean Dezert, and B. Pannetier "Overview of Dempster-Shafer and belief function tracking methods", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 874506 (23 May 2013); https://doi.org/10.1117/12.2016326

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