Efficient multitarget particle filters for ground target tracking

Shawn M. Herman; Sean E. Roberts

doi:10.1117/12.617310

15 September 2005 Efficient multitarget particle filters for ground target tracking

Shawn M. Herman, Sean E. Roberts

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 59130T (2005) https://doi.org/10.1117/12.617310
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

Many factors make the ground target tracking problem decidedly nonlinear and non-Gaussian. Because these factors can lead to a multimodal posterior density, a Bayesian filtering solution is appropriate. In the last decade, the particle filter has emerged as a Bayesian inference technique that is both powerful and simple to implement. In this work, we demonstrate the necessity of using multiple-target particle filters when two or more tracks are linked through measurement contention. We also develop an efficient way to implement these filters by adaptively managing the type of particle filters, the number of particles, and the enumeration of hypotheses during data association. Using simulated data, we compare the run-time of our adaptive particle filter algorithm to the run-times of two baseline particle filters, to demonstrate that our design mitigates the increase in computation required when performing joint multitarget tracking.

Citation Download Citation

Shawn M. Herman and Sean E. Roberts "Efficient multitarget particle filters for ground target tracking", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59130T (15 September 2005); https://doi.org/10.1117/12.617310

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available