Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/89906
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Type: Conference paper
Title: 3D tracking of multiple objects with identical appearance using RGB-D input
Author: Ren, C.Y.
Prisacariu, V.A.
Kähler, O.
Reid, I.D.
Murray, D.W.
Citation: Proceedings of 2nd International Conference on 3D Vision, 3DV 2014, Tokyo, Japan, December 8-11, 2014, 2014 / pp.47-54
Publisher: IEEE
Issue Date: 2014
ISBN: 9781479970018
Conference Name: International Conference on 3D Vision (3DV) (08 Dec 2014 - 11 Dec 2014 : Tokyo, Japan)
Statement of
Responsibility: 
Carl Yuheng Ren, Victor Prisacariu, Olaf Kaehler, Ian Reid, and David Murray
Abstract: Most current approaches for 3D object tracking rely on distinctive object appearances. While several such trackers can be instantiated to track multiple objects independently, this not only neglects that objects should not occupy the same space in 3D, but also fails when objects have highly similar or identical appearances. In this paper we develop a probabilistic graphical model that accounts for similarity and proximity and leads to robust real-time tracking of multiple objects from RGB-D data, without recourse to bolton collision detection.
Rights: © 2014 IEEE
RMID: 0030024375
DOI: 10.1109/3DV.2014.39
Grant ID: http://purl.org/au-research/grants/arc/FL130100102
Appears in Collections:Computer Science publications

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