A data association algorithm for multiple object tracking in video sequences

MH Jaward; L Mihaylova; CN Canagarajah; David Bull

doi:10.1049/ic:20060565

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 proceeding › Chapter in a book

10 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 language	English
Title of host publication	IEE Seminar on Target Tracking: Algorithms and Applications, 2006
Publisher	Institution of Engineering and Technology (IET)
Pages	135 - 142
ISBN (Print)	086341608X
DOIs	https://doi.org/10.1049/ic:20060565
Publication status	Published - 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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10.1049/ic:20060565

http://hdl.handle.net/1983/1327

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AU - Bull, David

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M3 - Chapter in a book

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EP - 142

BT - IEE Seminar on Target Tracking: Algorithms and Applications, 2006

PB - Institution of Engineering and Technology (IET)

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A data association algorithm for multiple object tracking in video sequences

Abstract

Bibliographical note

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