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
29 November 2009
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, Las Vegas.
01 Nov - 01 Dec 2009.
.
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
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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, Las Vegas, 2009-11-01 - 2009-12-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 268011
URI: http://eprints.soton.ac.uk/id/eprint/268011
PURE UUID: 1e58e9fd-52d5-4157-98b6-295ba8c037d0
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Date deposited: 06 Oct 2009 13:53
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Muayed Al-Huseiny
Author:
Sasan Mahmoodi
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