Intelligent filtering by semantic importance for single-view 3d reconstruction from snooker video

Legg, Philip A. and Parry, Matthew L. and Chung, David H. S. and Jiang, Richard M. and Morris, Adrian and Griffiths, Iwan W. and Marshall, David and Chen, Min (2011) Intelligent filtering by semantic importance for single-view 3d reconstruction from snooker video. In: 2011 18th IEEE International Conference on Image Processing. 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) . IEEE, pp. 2385-2388. ISBN 9781457713040

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Abstract

In this paper we investigate the challenge of 3D reconstruction from Snooker video data. We propose a system pipeline for intelligent filtering based on semantic importance in Snooker. The system can be divided into table detection and correction, followed by ball detection, classification and tracking. It is apparent from previous work that there are several challenges presented here. Firstly, previous methods tend to use a fixed top-down camera mounted above the table. To capture a full table view from this is challenging due to space limitations above the table. Instead, we capture video data from a tripod and correct the viewpoint through processing. Secondly, previous methods tend to simply detect the balls without considering other interfering objects such as player and cue. This becomes even more apparent when the player strikes the cue ball. Our intelligent filtering avoids such issues to give accurate 3D table reconstruction.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
132110
Deposited By:
Deposited On:
25 Mar 2019 09:50
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Oct 2020 09:08