GM-PHD filter multi-target tracking in sonar images

Daniel Clark, Ba N. Vo, Judith Bell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

The Gaussian Mixure Probability Hypothesis Density (GM-PHD) Multi-target Tracker was developed as an extension to the GM-PHD filter to provide track continuity. The algorithm is demonstrated on forward-looking sonar data with clutter and is compared with the results from the Particle PHD filter.

Original languageEnglish
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XV
Volume6235
DOIs
Publication statusPublished - 2006
EventSignal Processing, Sensor Fusion, and Target Recognition XV - Kissimmee, FL, United States
Duration: 17 Apr 200619 Apr 2006

Conference

ConferenceSignal Processing, Sensor Fusion, and Target Recognition XV
Country/TerritoryUnited States
CityKissimmee, FL
Period17/04/0619/04/06

Fingerprint

Dive into the research topics of 'GM-PHD filter multi-target tracking in sonar images'. Together they form a unique fingerprint.

Cite this