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Multitarget association and tracking in 3-D space based on particle filter with joint multitarget probability density

  • Jinseok Lee
  • , Byung Guk Kim
  • , Shung Han Cho
  • , Sangjin Hong
  • , We Duke Cho
  • Stony Brook University
  • Ajou University

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

1 Scopus citations

Abstract

This paper addresses the problem of 3-dimensional (3-D) multitarget tracking using particle filter with the joint multitarget probability density (JMPD) technique. The estimation allows the nonlinear target motion with unlabeled measurement association as well as non-Gaussian target state densities. In addition, we decompose the 3-D formulation into multiple 2-D particle filters that operate on the 2-D planes. Both selection and combining of the 2-D particle filters for 3-D tracking are presented and discussed. Finally, we analyze the tracking and association performance of the proposed approach especially in the cases of multitarget crossing and overlapping.

Original languageEnglish
Title of host publication2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages573-578
Number of pages6
ISBN (Print)9781424416967
DOIs
StatePublished - 2007
Event4th IEEE International Conference on Advanced Video and Signal based Surveillance, AVSS 2007 - London, United Kingdom
Duration: Sep 5 2007Sep 7 2007

Publication series

Name2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings

Conference

Conference4th IEEE International Conference on Advanced Video and Signal based Surveillance, AVSS 2007
Country/TerritoryUnited Kingdom
CityLondon
Period09/5/0709/7/07

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