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On Using Gait Biometrics to Enhance Face Pose Estimation

Record type: Conference or Workshop Item (Poster)

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.

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Citation

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

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

Catalogue record

Date deposited: 10 Jan 2011 10:02
Last modified: 18 Jul 2017 06:37

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Contributors

Author: Sung Uk Jung
Author: Mark Nixon

University divisions


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