A data association algorithm for multiple object tracking in video sequences

MH Jaward, L Mihaylova, CN Canagarajah, David Bull

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

7 Citations (Scopus)

Abstract

This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the measurement origin.
Original languageEnglish
Title of host publicationIEE Seminar on Target Tracking: Algorithms and Applications, 2006
PublisherInstitution of Engineering and Technology (IET)
Pages135 - 142
ISBN (Print)086341608X
DOIs
Publication statusPublished - Mar 2006

Bibliographical note

Sponsorship: The authors are grateful to the financial support by the UK MOD Data and Information Fusion Defence Technology Centre.

Other identifier: Ref. No. 2006/11359

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