Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform
Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform
We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately detect moving spheres at any given point cloud from the sequence. We demonstrate its capability to detect spheres which are obscured within the sequence of point clouds, which conventional approaches cannot achieve. We apply our algorithm on real and synthetic data and demonstrate the ability of detecting fully occluded spheres by exploiting inter-frame correlation within the 3D point cloud sequence.
Abuzaina, Anas
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Alathari, Thamer
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Nixon, Mark S.
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Carter, John N.
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11 June 2013
Abuzaina, Anas
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Alathari, Thamer
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Nixon, Mark S.
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Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Abuzaina, Anas, Alathari, Thamer, Nixon, Mark S. and Carter, John N.
(2013)
Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform.
11th IEEE Image, Video and Multidimensional Signal Processing Workshop, Seoul, Korea, Republic of.
10 - 12 Jun 2013.
4 pp
.
(doi:10.1109/IVMSPW.2013.6611895).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately detect moving spheres at any given point cloud from the sequence. We demonstrate its capability to detect spheres which are obscured within the sequence of point clouds, which conventional approaches cannot achieve. We apply our algorithm on real and synthetic data and demonstrate the ability of detecting fully occluded spheres by exploiting inter-frame correlation within the 3D point cloud sequence.
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CameraReady_Abuzaina.pdf
- Author's Original
Text
06611895.pdf
- Accepted Manuscript
More information
Published date: 11 June 2013
Venue - Dates:
11th IEEE Image, Video and Multidimensional Signal Processing Workshop, Seoul, Korea, Republic of, 2013-06-10 - 2013-06-12
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 359076
URI: http://eprints.soton.ac.uk/id/eprint/359076
PURE UUID: a4c1968c-3316-4ff9-98d0-ac0de39137b0
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Date deposited: 22 Oct 2013 13:15
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Anas Abuzaina
Author:
Thamer Alathari
Author:
John N. Carter
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