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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 30 of 76 in the submission

Article title

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods

Type

D - Journal article

DOI

10.1109/TSP.2010.2103062

Title of journal

IEEE Transactions on Signal Processing

Article number

Volume number

Issue number

First page of article

1383

ISSN of journal

1941-0476

Year of publication

2011

URL

Number of additional authors

Additional information

This paper develops an object tracking model that represents grouping as a graph rather than using subsets, making it possible to improve the description and articulation of loose-couplings of groups of objects. Funded as part of by MoD’s Data and Information Fusion Defence Technology Centre £1.5M project “the Tracking Cluster”. Collaboration with Lancaster and Cambridge Universities.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract