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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
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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Abuzaina, Anas
8e37a6fc-d659-45a0-8b8b-e885f385ece5
Alathari, Thamer
0e4d164a-4929-4f9c-8da0-31f525be5bcb
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
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, 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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More information

Published date: 11 June 2013
Venue - Dates: 11th IEEE Image, Video and Multidimensional Signal Processing Workshop, Korea, Republic of, 2013-06-10 - 2013-06-12
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 359076
URI: https://eprints.soton.ac.uk/id/eprint/359076
PURE UUID: a4c1968c-3316-4ff9-98d0-ac0de39137b0
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 22 Oct 2013 13:15
Last modified: 19 Oct 2018 00:37

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Contributors

Author: Anas Abuzaina
Author: Thamer Alathari
Author: Mark S. Nixon ORCID iD
Author: John N. Carter

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