The University of Southampton
University of Southampton Institutional Repository

Finding Continuous-Model Moving Shapes by Evidence Gathering

Grant, Michael G., Nixon, Mark S. and Lewis, Paul H. (1999) Finding Continuous-Model Moving Shapes by Evidence Gathering At IEE Colloquium "Motion Analysis and Tracking. , 14/1-14/4.

Record type: Conference or Workshop Item (Other)

Abstract

Two recent approaches are combined in a new technique to find moving arbitrary shapes. We combine the new Velocity Hough Transform, which extracts moving conic sections, with a continuous formulation for arbitrary shape extraction. The new technique is demonstrated to provide motion analysis that is resilient to noise and to be able to detect its target shapes, which are both moving and arbitrary. Further, it is shown to have performance advantage over contemporaneous single-image extraction techniques. Finally, it appears to offer improved immunity to noise and occlusion, as consistent with evidence gathering techniques. The target application of this new approach is for use in automatic gait recognition, as a primer for shape extraction or as a basis for a recognition technique.

Microsoft Word iee99.doc - Other
Download (216kB)

More information

Published date: May 1999
Additional Information: Organisation: IEE
Venue - Dates: IEE Colloquium "Motion Analysis and Tracking, 1999-05-01
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 250642
URI: http://eprints.soton.ac.uk/id/eprint/250642
PURE UUID: 15113ad0-b34e-4daa-93f2-5fecbcd6184b

Catalogue record

Date deposited: 10 Jul 2001
Last modified: 18 Jul 2017 10:40

Export record

Contributors

Author: Michael G. Grant
Author: Mark S. Nixon
Author: Paul H. Lewis

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×