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Improved GMPHD tracker with delayed decision

  • Yan Wang*
  • , Huadong Meng
  • , Hao Zhang
  • , Xiqin Wang
  • *Corresponding author for this work
  • Tsinghua University

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

Abstract

The Gaussian mixture probability hypothesis density (GMPHD) filter was proposed to estimate the time-varying number of targets and their states, and GMPHD tracker even gives the identities of individual target state estimates, by recording the evolution of each Gaussian mixture component based GMPHD filter. However, in the presence of high density clutter and severe miss-detection, GMPHD tracker in the existing literature still has more or less defects, such as providing discontinuous track, or unsmooth track. In this paper, we propose and realize an improved GMPHD tracker with delayed decision, which implements a novel pruning and estimating scheme reducing the computational load and simultaneously provides more accurate target numbers and state estimates by a back scheme.

Original languageEnglish
Title of host publicationICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
Pages255-258
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 10th International Conference on Signal Processing, ICSP2010 - Beijing, China
Duration: 24 Oct 201028 Oct 2010

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Country/TerritoryChina
CityBeijing
Period24/10/1028/10/10

Keywords

  • Delayed Decision
  • GMPHD Tracker
  • Pruning

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