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Output details

11 - Computer Science and Informatics

Queen Mary University of London

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Output 6 of 83 in the submission

Article title

Accurate appearance-based Bayesian tracking for maneuvering targets

Type

D - Journal article

DOI

10.1016/j.cviu.2008.12.003

Title of journal

Computer Vision and Image Understanding

Article number

Volume number

113

Issue number

First page of article

544

ISSN of journal

1077-3142

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S1077314208002063

Number of additional authors

Additional information

<23>The paper demonstrates a new object-tracking method that improves the sampling efficiency of particle filters. This new algorithm was licensed to General Dynamics (James.Spillings@generaldynamics.uk.com) and is used by the Robotics group of the University of Copenhagen (http://image.diku.dk/mediawiki/index.php/Two_Stage_Hybrid_Tracker). The work encapsulated in this paper was the basis on which QMUL was selected as providing core expertise on Multisensor Surveillance for the EU Erasmus Mundus Joint Doctorate programme in Interactive and Cognitive Environments (FPA-2010-0012; 2010-2015).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract