Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Liverpool
Article title
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
Type
D - Journal article
Title of journal
IEEE Transactions on Signal Processing
Article number
-
Volume number
59
Issue number
4
First page of article
1383
ISSN of journal
1941-0476
Year of publication
2011
URL
-
Number of additional authors
4
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
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-