The University of Southampton
University of Southampton Institutional Repository

Level Set Gait Analysis for Synthesis and Reconstruction

Level Set Gait Analysis for Synthesis and Reconstruction
Level Set Gait Analysis for Synthesis and Reconstruction
We describe a new technique to extract the boundary of a walking subject, with ability to predict movement in missing frames. This paper uses a level sets representation of the training shapes and uses an interpolating cubic spline to model the eigenmodes of implicit shapes. Our contribution is to use a continuous representation of the feature space variation with time. The experimental results demonstrate that this level set-based technique can be used reliably in reconstructing the training shapes, estimating in-between frames to help in synchronizing multiple cameras, compensating for missing training sample frames, and the recognition of subjects based on their gait
377-386
Al-Huseiny, Muayed
89bace65-62ba-4531-a4c2-bae3f1dd0c0f
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Al-Huseiny, Muayed
89bace65-62ba-4531-a4c2-bae3f1dd0c0f
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Al-Huseiny, Muayed, Mahmoodi, Sasan and Nixon, Mark (2009) Level Set Gait Analysis for Synthesis and Reconstruction. Lecture Notes in Computer Science-5th International Symposium on Visual Computing. 01 Nov - 01 Dec 2009. pp. 377-386 .

Record type: Conference or Workshop Item (Other)

Abstract

We describe a new technique to extract the boundary of a walking subject, with ability to predict movement in missing frames. This paper uses a level sets representation of the training shapes and uses an interpolating cubic spline to model the eigenmodes of implicit shapes. Our contribution is to use a continuous representation of the feature space variation with time. The experimental results demonstrate that this level set-based technique can be used reliably in reconstructing the training shapes, estimating in-between frames to help in synchronizing multiple cameras, compensating for missing training sample frames, and the recognition of subjects based on their gait

PDF
ISVC2009.pdf - Version of Record
Download (425kB)

More information

Published date: 29 November 2009
Additional Information: Event Dates: November-December 2009
Venue - Dates: Lecture Notes in Computer Science-5th International Symposium on Visual Computing, 2009-11-01 - 2009-12-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 268011
URI: https://eprints.soton.ac.uk/id/eprint/268011
PURE UUID: 1e58e9fd-52d5-4157-98b6-295ba8c037d0
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 06 Oct 2009 13:53
Last modified: 06 Jun 2018 13:18

Export record

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 https://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.

×