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Finding Continuous-Model Moving Shapes by Evidence Gathering

Finding Continuous-Model Moving Shapes by Evidence Gathering
Finding Continuous-Model Moving Shapes by Evidence Gathering
Two recent approaches are combined in a new technique to find moving arbitrary shapes. We combine the new Velocity Hough Transform, which extracts moving conic sections, with a continuous formulation for arbitrary shape extraction. The new technique is demonstrated to provide motion analysis that is resilient to noise and to be able to detect its target shapes, which are both moving and arbitrary. Further, it is shown to have performance advantage over contemporaneous single-image extraction techniques. Finally, it appears to offer improved immunity to noise and occlusion, as consistent with evidence gathering techniques. The target application of this new approach is for use in automatic gait recognition, as a primer for shape extraction or as a basis for a recognition technique.
14/1-14/4
Grant, Michael G.
835c848a-f26c-4474-b0f7-8465d44bdacf
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Grant, Michael G.
835c848a-f26c-4474-b0f7-8465d44bdacf
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Grant, Michael G., Nixon, Mark S. and Lewis, Paul H. (1999) Finding Continuous-Model Moving Shapes by Evidence Gathering. At IEE Colloquium "Motion Analysis and Tracking IEE Colloquium "Motion Analysis and Tracking. 14/1-14/4.

Record type: Conference or Workshop Item (Other)

Abstract

Two recent approaches are combined in a new technique to find moving arbitrary shapes. We combine the new Velocity Hough Transform, which extracts moving conic sections, with a continuous formulation for arbitrary shape extraction. The new technique is demonstrated to provide motion analysis that is resilient to noise and to be able to detect its target shapes, which are both moving and arbitrary. Further, it is shown to have performance advantage over contemporaneous single-image extraction techniques. Finally, it appears to offer improved immunity to noise and occlusion, as consistent with evidence gathering techniques. The target application of this new approach is for use in automatic gait recognition, as a primer for shape extraction or as a basis for a recognition technique.

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More information

Published date: May 1999
Additional Information: Organisation: IEE
Venue - Dates: IEE Colloquium "Motion Analysis and Tracking, 1999-05-01
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 250642
URI: https://eprints.soton.ac.uk/id/eprint/250642
PURE UUID: 15113ad0-b34e-4daa-93f2-5fecbcd6184b
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 10 Jul 2001
Last modified: 18 Jul 2017 10:40

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Contributors

Author: Michael G. Grant
Author: Mark S. Nixon ORCID iD
Author: Paul H. Lewis

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