Extraction and description of 3D (articulated) moving objects
Extraction and description of 3D (articulated) moving objects
We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first develop a multi-view system that segments objects from the background before their subsequent analysis by a motion model. To reduce the effects of noise, we also perform 3D reconstruction prior to motion analysis to improve the extraction of the (static) background. The 3D extraction and motion analysis are both performed by evidence gathering, thus accruing optimality of performance. These new analyses are supported by a new representation which describes 3D data with optimal fidelity.
feature-extraction, image-motion-analysis, image-recognition, image-reconstruction, image-representation, image-segmentation, optimisation-
664-667
Sharman, Karl
09dac756-bf5d-4ffa-abdd-8d63c6bb5c91
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
2002
Sharman, Karl
09dac756-bf5d-4ffa-abdd-8d63c6bb5c91
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Sharman, Karl, Nixon, Mark S. and Carter, John N.
(2002)
Extraction and description of 3D (articulated) moving objects.
First International Symposium on 3D Data Processing Visualization and Transmission, Padova, Italy.
19 - 21 Jun 2002.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first develop a multi-view system that segments objects from the background before their subsequent analysis by a motion model. To reduce the effects of noise, we also perform 3D reconstruction prior to motion analysis to improve the extraction of the (static) background. The 3D extraction and motion analysis are both performed by evidence gathering, thus accruing optimality of performance. These new analyses are supported by a new representation which describes 3D data with optimal fidelity.
Text
sharman_3dpvt2002.pdf
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More information
Published date: 2002
Additional Information:
Event Dates: 19-21 June 2002
Venue - Dates:
First International Symposium on 3D Data Processing Visualization and Transmission, Padova, Italy, 2002-06-19 - 2002-06-21
Keywords:
feature-extraction, image-motion-analysis, image-recognition, image-reconstruction, image-representation, image-segmentation, optimisation-
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 257896
URI: http://eprints.soton.ac.uk/id/eprint/257896
PURE UUID: 2be24d17-ed44-4758-a4a6-64a726aea983
Catalogue record
Date deposited: 20 Nov 2003
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
Karl Sharman
Author:
John N. Carter
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