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On Moving Object Reconstruction By Moments

On Moving Object Reconstruction By Moments
On Moving Object Reconstruction By Moments
Recent research using statistical moments to describe moving shapes through an image sequence has led to an interest in reconstructing moving shapes from their moment description. This paper discusses how the moment description through a series of frames might be used to predict missing or intermediate frames within a sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. The ideas presented use Zernike moments, although the general framework is applicable to all types of moments. We show how a moving human silhouette can be reconstructed with accuracy by interpolation from a moment history.
Moving Object Reconstruction, Moments, Gait
1-10
Prismall, Stuart P.
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
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Marshall, Dave
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Rosin, Paul
a13a8b2e-334d-43b7-9bd9-36af170559e5
Prismall, Stuart P.
eda1076c-f8cd-457b-85fb-a432f88c6695
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Marshall, Dave
b0f43bc2-0e8d-467c-9fe0-12aa198ef764
Rosin, Paul
a13a8b2e-334d-43b7-9bd9-36af170559e5

Prismall, Stuart P., Nixon, Mark S. and Carter, John N. (2002) On Moving Object Reconstruction By Moments. Marshall, Dave and Rosin, Paul (eds.) British Machine Vision Conference, Norwich. pp. 1-10 .

Record type: Conference or Workshop Item (Paper)

Abstract

Recent research using statistical moments to describe moving shapes through an image sequence has led to an interest in reconstructing moving shapes from their moment description. This paper discusses how the moment description through a series of frames might be used to predict missing or intermediate frames within a sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. The ideas presented use Zernike moments, although the general framework is applicable to all types of moments. We show how a moving human silhouette can be reconstructed with accuracy by interpolation from a moment history.

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More information

Published date: 2002
Additional Information: Event Dates: 2003
Venue - Dates: British Machine Vision Conference, Norwich, 2003-01-01
Keywords: Moving Object Reconstruction, Moments, Gait
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258451
URI: http://eprints.soton.ac.uk/id/eprint/258451
PURE UUID: c7aecea1-71eb-4eb6-a6f2-69a7ac3788ac
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 20 Nov 2003
Last modified: 15 Mar 2024 02:35

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Contributors

Author: Stuart P. Prismall
Author: Mark S. Nixon ORCID iD
Author: John N. Carter
Editor: Dave Marshall
Editor: Paul Rosin

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