Skip to main navigation Skip to search Skip to main content

Multitarget tracking (MTT) in 3-D using 2-D particle filters with single passive sensor

  • Jinseok Lee
  • , Shung Han Cho
  • , Xi Deng
  • , Sangjin Hong
  • , We Duke Cho
  • Stony Brook University
  • Ajou University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we present an approach for multitarget association in 3 dimensional (3-D) space using independent 2-D based particle filters. The independent 2-D particle filters decompose the 3-D formulation and support multiple chances for the association. The proposed approach increases the association success rate. Furthermore, the approach is able to enhance the each target position estimation less sensitive to measurement noise. In this paper, we formulate the independent 2-D based particle filters for multitarget association and compare the performance to a conventional approach through the Cramer Rao Low Bound (CRLB).

Original languageEnglish
Title of host publication2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings
Pages389-392
Number of pages4
DOIs
StatePublished - 2007
Event2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference - Montreal, QC, Canada
Duration: Aug 5 2007Aug 8 2007

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Conference

Conference2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference
Country/TerritoryCanada
CityMontreal, QC
Period08/5/0708/8/07

Fingerprint

Dive into the research topics of 'Multitarget tracking (MTT) in 3-D using 2-D particle filters with single passive sensor'. Together they form a unique fingerprint.

Cite this