Tracking soccer players using spatio-temporal context learning under multiple views

With the popularity of soccer games and rapid development of computer technology, automatic soccer analysis systems have been studied a lot these years. Tracking soccer players, as the fundamental step in an analysis system, is of great research value and draws attention from researchers all over th...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-08, Vol.77 (15), p.18935-18955
Main Authors: Zhang, Pei, Zheng, Linghan, Jiang, Yan, Mao, Lijuan, Li, Zhen, Sheng, Bin
Format: Article
Language:English
Subjects:
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Multimedia Information Systems
Players
Soccer
Special Purpose and Application-Based Systems
Technology assessment
Tracking
Video data
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Summary:With the popularity of soccer games and rapid development of computer technology, automatic soccer analysis systems have been studied a lot these years. Tracking soccer players, as the fundamental step in an analysis system, is of great research value and draws attention from researchers all over the world. In this paper, we propose an effective method which makes an improvement on spatiotemporal context learning and increases the accuracy by combining information from multiple views. At the same time, a two-dimensional plane graph is displayed to show the players’ movements correspondingly. Experiments are conducted on several video fragments and the results have shown that the proposed method reaches a relatively high accuracy even when there are heavy occlusions and pose variations.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-5316-3