Gao, X. and Niu, Z. and Tao, D. and Li, Xuelong (2011) Non-goal scene analysis for soccer video. Neurocomputing 74 (4), pp. 540-548. ISSN 0925-2312.
Abstract
The broadcast soccer video is usually recorded by one main camera, which is constantly gazing somewhere of playfield where a highlight event is happening. So the camera parameters and their variety have close relationship with semantic information of soccer video, and much interest has been caught in camera calibration for soccer video. The previous calibration methods either deal with goal scene, or have strict calibration conditions and high complexity. So, it does not properly handle the non-goal scene such as midfield or center-forward scene. In this paper, based on a new soccer field model, a field symbol extraction algorithm is proposed to extract the calibration information. Then a two-stage calibration approach is developed which can calibrate camera not only for goal scene but also for non-goal scene. The preliminary experimental results demonstrate its robustness and accuracy.
Metadata
Item Type: | Article |
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Keyword(s) / Subject(s): | semantic analysis, field model, scene analysis, camera calibration |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Depositing User: | Sarah Hall |
Date Deposited: | 20 Jun 2013 09:10 |
Last Modified: | 09 Aug 2023 12:33 |
URI: | https://eprints.bbk.ac.uk/id/eprint/7506 |
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