Finding Moving Shapes by Continuous-Model Evidence Gathering


Grant, Michael G., Nixon, Mark S. and Lewis, Paul H., (1999) Finding Moving Shapes by Continuous-Model Evidence Gathering Pridmore, Tony and Elliman, David (eds.) At Proceedings British Machine Vision Conference 1999, BMVC99. , pp. 554-563.

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Description/Abstract

Two recent approaches are combined in a new technique to find moving arbitrary shapes. We combine the Velocity Hough Transform, which extracts moving conic sections, with a continuous formulation for arbitrary shape extraction, which avoids discretisation errors associated with GHT methods. The new approach has been evaluated on synthetic and real imagery and 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 advantages over contemporaneous single-image extraction techniques. Finally, it appears to offer improved immunity to noise and occlusion, consistent with evidence gathering techniques, as shown by results on real images.

Item Type: Conference or Workshop Item (Other)
Venue - Dates: Proceedings British Machine Vision Conference 1999, BMVC99, 1999-09-01
Organisations: Web & Internet Science, Southampton Wireless Group
ePrint ID: 251949
Date :
Date Event
September 1999Published
Date Deposited: 05 Jul 2001
Last Modified: 17 Apr 2017 23:38
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/251949

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