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On using gait to enhance frontal face extraction

On using gait to enhance frontal face extraction
On using gait to enhance frontal face extraction
Visual surveillance finds increasing deployment for
monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose. In surveillance environments, it is necessary to handle pose variation of the human head, low frame rate, and low resolution input images. We describe the first use of gait to enable face acquisition and recognition, by analysis of 3-D head motion and gait trajectory, with super-resolution analysis. We use region- and distance-based refinement of head pose estimation. We develop a direct mapping to relate the 2-D image with a 3-D model. In gait trajectory analysis, we model the looming effect so as to obtain the correct face region. Based on head position and the gait trajectory, we can reconstruct high-quality frontal face images which are demonstrated to be suitable for face recognition. The contributions of this research include the construction of a 3-D model for pose estimation from planar imagery and the first use of gait information to enhance the face extraction process allowing for deployment in surveillance scenarios
1556-6013
1802-1811
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Jung, Sung Uk
7d4ceed9-1bc6-4740-a398-b81a670438ba
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Jung, Sung Uk
7d4ceed9-1bc6-4740-a398-b81a670438ba

Nixon, Mark S. and Jung, Sung Uk (2012) On using gait to enhance frontal face extraction. IEEE Transactions on Information Forensics and Security, 7 (6), 1802-1811. (doi:10.1109/TIFS.2012.2218598).

Record type: Article

Abstract

Visual surveillance finds increasing deployment for
monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose. In surveillance environments, it is necessary to handle pose variation of the human head, low frame rate, and low resolution input images. We describe the first use of gait to enable face acquisition and recognition, by analysis of 3-D head motion and gait trajectory, with super-resolution analysis. We use region- and distance-based refinement of head pose estimation. We develop a direct mapping to relate the 2-D image with a 3-D model. In gait trajectory analysis, we model the looming effect so as to obtain the correct face region. Based on head position and the gait trajectory, we can reconstruct high-quality frontal face images which are demonstrated to be suitable for face recognition. The contributions of this research include the construction of a 3-D model for pose estimation from planar imagery and the first use of gait information to enhance the face extraction process allowing for deployment in surveillance scenarios

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Published date: December 2012
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 346056
URI: https://eprints.soton.ac.uk/id/eprint/346056
ISSN: 1556-6013
PURE UUID: b2a9b964-a0ee-43d8-8559-3a931c734b07
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 14 Dec 2012 09:45
Last modified: 31 Jul 2019 00:54

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Contributors

Author: Mark S. Nixon ORCID iD
Author: Sung Uk Jung

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