Improved probabilistic multi-hypothesis tracker for multiple targets tracking with discrete feature

Le Zheng, Yang Li*, Tao Zeng

*Corresponding author for this work

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

Abstract

In tracking scenarios of high resolution radar, it is possible to obtain more information about targets. This paper demonstrates how the Probabilistic Multi-Hypothesis Tracker (PMHT) can be extended to include discrete feature information when both the uncertainty of feature models and the instability of feature observing process should be taken into consideration. A framework for multiple targets tracking with discrete feature measurements is presented based on a probabilistic integration of discrete feature state estimation and tracking process. A Monte Carlo simulation study has been employed to identify the target tracking where performance improvement is obtained over the standard PMHT and the PMHT-C.

Original languageEnglish
Title of host publicationRadarCon'11 - In the Eye of the Storm
Subtitle of host publication2011 IEEE Radar Conference
Pages597-601
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 - Kansas City, MO, United States
Duration: 23 May 201127 May 2011

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11
Country/TerritoryUnited States
CityKansas City, MO
Period23/05/1127/05/11

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Zheng, L., Li, Y., & Zeng, T. (2011). Improved probabilistic multi-hypothesis tracker for multiple targets tracking with discrete feature. In RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference (pp. 597-601). Article 5960607 (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2011.5960607