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
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Nixon, Mark
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Jung, Sung Uk
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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.
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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
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Local EPrints ID: 271892
URI: http://eprints.soton.ac.uk/id/eprint/271892
PURE UUID: 25521b0e-af73-4a1e-9f9a-a7b031e92614
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Date deposited: 10 Jan 2011 10:02
Last modified: 15 Mar 2024 02:35
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Author:
Sung Uk Jung
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