Novel Temporal Views of Moving Objects for Gait Biometrics
Novel Temporal Views of Moving Objects for Gait Biometrics
There is increasing interest in novel view reconstruction but less for new time-based views of moving objects as needed for gait biometric deployment. Our interests concern reconstructing moving shapes from their moment history with a view to constructing new temporal views. This paper shows how the moment description through an object sequence can be used to predict missing or intermediate frames within the sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. We use Zernike moments for the convenience of reconstruction, although the framework is applicable to all types of moments. As an example, we show that by interpolating the moment history of a moving human silhouette, a missing frame can be constructed with accuracy, providing a practical basis for the construction of new temporal views of moving objects.
Gait, Prediction, Moving Shape Reconstruction, Moments
725-733
Prismall, Stuart P.
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Nixon, Mark S.
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Carter, John N.
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Kittler, Josef
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2003
Prismall, Stuart P.
eda1076c-f8cd-457b-85fb-a432f88c6695
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Kittler, Josef
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Prismall, Stuart P., Nixon, Mark S. and Carter, John N.
(2003)
Novel Temporal Views of Moving Objects for Gait Biometrics.
Kittler, Josef and Nixon, Mark S.
(eds.)
Audio-Visual Biometric Person Authentication, Halmstadt, Sweden.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
There is increasing interest in novel view reconstruction but less for new time-based views of moving objects as needed for gait biometric deployment. Our interests concern reconstructing moving shapes from their moment history with a view to constructing new temporal views. This paper shows how the moment description through an object sequence can be used to predict missing or intermediate frames within the sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. We use Zernike moments for the convenience of reconstruction, although the framework is applicable to all types of moments. As an example, we show that by interpolating the moment history of a moving human silhouette, a missing frame can be constructed with accuracy, providing a practical basis for the construction of new temporal views of moving objects.
Text
prismall_avbpa2003.pdf
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More information
Published date: 2003
Additional Information:
Event Dates: 2003
Venue - Dates:
Audio-Visual Biometric Person Authentication, Halmstadt, Sweden, 2001-01-01
Keywords:
Gait, Prediction, Moving Shape Reconstruction, Moments
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 258450
URI: http://eprints.soton.ac.uk/id/eprint/258450
PURE UUID: d337deff-8e2e-4f2a-b0c7-681640c4da46
Catalogue record
Date deposited: 20 Nov 2003
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Stuart P. Prismall
Author:
John N. Carter
Editor:
Josef Kittler
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