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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 2 of 76 in the submission

Article title

A Bayesian approach to joint tracking and identification of geometric shapes in video sequences

Type

D - Journal article

DOI

10.1016/j.imavis.2009.05.002

Title of journal

Image and Vision Computing

Article number

Volume number

Issue number

First page of article

111

ISSN of journal

02628856

Year of publication

2010

URL

Number of additional authors

Additional information

This paper was motivated by the need to use low resolution imagery to accurately distinguish decoys from ballistic missiles, and it extends several state-of-the-art approaches to jointly tracking and identifying objects in real data. Funded by a DGA (French MoD) year-long secondment to the UK. Collaboration with the Institute of Statistical Mathematics, Tokyo, Japan.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract