The University of Southampton
University of Southampton Institutional Repository

Zernike velocity moments for sequence-based description of moving features

Shutler, Jamie and Nixon, Mark S (2006) Zernike velocity moments for sequence-based description of moving features Image and Vision Computing, 24, (4), pp. 343-356.

Record type: Article

Abstract

The increasing interest in processing sequences of images motivates development of techniques for sequence-based object analysis and description. Accordingly, new velocity moments have been developed to allow a statistical description of both shape and associated motion through an image sequence. Through a generic framework motion information is determined using the established centralised moments, enabling statistical moments to be applied to motion based time series analysis. The translation invariant Cartesian velocity moments suffer from highly correlated descriptions due to their non-orthogonality. The new Zernike velocity moments overcome this by using orthogonal spatial descriptions through the proven orthogonal Zernike basis. Further, they are translation and scale invariant. To illustrate their benefits and application the Zernike velocity moments have been applied to gait recognition—an emergent biometric. Good recognition results have been achieved on multiple datasets using relatively few spatial and/or motion features and basic feature selection and classification techniques. The prime aim of this new technique is to allow the generation of statistical features which encode shape and motion information, with generic application capability. Applied performance analyses illustrate the properties of the Zernike velocity moments which exploit temporal correlation to improve a shape's description. It is demonstrated how the temporal correlation improves the performance of the descriptor under more generalised application scenarios, including reduced resolution imagery and occlusion.

PDF shutler_ivc.pdf - Other
Download (354kB)

More information

Published date: May 2006
Keywords: Gait, Biometric, Moments, Zernike, Velocity Moments
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262120
URI: http://eprints.soton.ac.uk/id/eprint/262120
ISSN: 0262-8856
PURE UUID: 9d5a7934-3543-484d-8856-a98b9d4ef78f

Catalogue record

Date deposited: 23 Mar 2006
Last modified: 18 Jul 2017 08:54

Export record

Contributors

Author: Jamie Shutler
Author: Mark S Nixon

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.

×