The University of Southampton
University of Southampton Institutional Repository

On Using Gait Biometrics to Enhance Face Pose Estimation

On Using Gait Biometrics to Enhance Face Pose Estimation
On Using Gait Biometrics to Enhance Face Pose Estimation
Many face biometrics systems use controlled environments where subjects are viewed directly facing the camera. This is less likely to occur in surveillance environments, so a process is required to handle the pose variation of the human head, change in illumination, and low frame rate of input image sequences. This has been achieved using scale invariant features and 3D models to determine the pose of the human subject. Then, a gait trajectory model is generated to obtain the correct the face region whilst handing the looming effect. In this way, we describe a new approach aimed to estimate accurate face pose. The contributions of this research include the construction of a 3D model for pose estimation from planar imagery and the first use of gait information to enhance the face pose estimation process.
Jung, Sung Uk
7d4ceed9-1bc6-4740-a398-b81a670438ba
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Jung, Sung Uk
7d4ceed9-1bc6-4740-a398-b81a670438ba
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Jung, Sung Uk and Nixon, Mark (2010) On Using Gait Biometrics to Enhance Face Pose Estimation. IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, September, Washington DC, USA. (In Press)

Record type: Conference or Workshop Item (Poster)

Abstract

Many face biometrics systems use controlled environments where subjects are viewed directly facing the camera. This is less likely to occur in surveillance environments, so a process is required to handle the pose variation of the human head, change in illumination, and low frame rate of input image sequences. This has been achieved using scale invariant features and 3D models to determine the pose of the human subject. Then, a gait trajectory model is generated to obtain the correct the face region whilst handing the looming effect. In this way, we describe a new approach aimed to estimate accurate face pose. The contributions of this research include the construction of a 3D model for pose estimation from planar imagery and the first use of gait information to enhance the face pose estimation process.

PDF
PID1437517.pdf - Version of Record
Download (890kB)

More information

Accepted/In Press date: 27 September 2010
Venue - Dates: IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, September, Washington DC, USA, 2010-09-27
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271892
URI: http://eprints.soton.ac.uk/id/eprint/271892
PURE UUID: 25521b0e-af73-4a1e-9f9a-a7b031e92614
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 10 Jan 2011 10:02
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 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.

×