Deforming Group Target Tracking Using GIW-PHD Filter with an Adaptive Group Birth Model

Zihan Yan, Wenxin Guan, Zhennan Liang, Shaoqiang Chang*, Hao He, Quanhua Liu

*Corresponding author for this work

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

Abstract

Tracking group targets during dynamic events such as separation and combination presents significant challenges, particularly in maintaining tracking accuracy and ensuring timely detection of new targets. To address this, we propose a method based on the GIW-PHD filter. The method first detects group target deformation through changes in group volume, then adjusts the birth intensity and measurement clustering weights based on the deformation information to enhance the robustness during splitting and merging. Simulation results demonstrate the effectiveness of the proposed method, showing improved tracking accuracy and successful detection of new targets born from group deformation.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • adaptive birth model
  • group separation
  • group target tracking
  • random matrix

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