A data association algorithm for multiple object tracking in video sequences

M. H. Jaward, L. Mihaylova, N. Canagarajah, D. Bull

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8 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
Subtitle of host publicationAlgorithms and Applications
Pages135-142
Number of pages8
Edition11359
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventIEE Seminar on Target Tracking: Algorithms and Applications 2006 - Birmingham, United Kingdom
Duration: 7 May 20068 May 2006
https://ieeexplore.ieee.org/xpl/conhome/10860/proceeding (Proceedings)

Publication series

NameIET Seminar Digest
Number11359
Volume2006

Conference

ConferenceIEE Seminar on Target Tracking: Algorithms and Applications 2006
CountryUnited Kingdom
CityBirmingham
Period7/05/068/05/06
Internet address

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