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12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

University College London

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Output 27 of 200 in the submission

Article title

An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility

Type

D - Journal article

DOI

10.1016/j.imavis.2007.06.008

Title of journal

IMAGE VISION COMPUT

Article number

Volume number

Issue number

First page of article

480

ISSN of journal

0262-8856

Year of publication

2008

URL

Number of additional authors

Additional information

This work is the culmination of a 12 year research programme by Greig into vision in poor visibility. Most image processing work assumes good visibility but this paper is distinctive and original because the tracking algorithm was designed to operate in degraded visibility. The algorithm was successfully validated using a robot mounted camera to track an object obscured by mist. The work was funded by the EPSRC and Sira Ltd (EPSRC Grant Ref. 99313004) and has potential application for underwater vision where degraded visibility is a real problem and many existing image processing algorithms cannot accommodate this.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract