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

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Abstract

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.

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Acknowledgements

The authors would like to thank Yuchen Xia for participating program testing and helpful discussion. The work is supported by the STCSM of Shanghai, China (grant number: 15490503200, the National Natural Science Foundation of China (No. 61572316, 61671290), National High-tech R&D Program of China (863 Program) (No. 2015AA015904), the Key Program for International S&T Cooperation Project (No. 2016YFE0129500) of China, the Science and Technology Commission of Shanghai Municipality (No. 16DZ0501100, 17411952600), the interdisciplinary Program of Shanghai Jiao Tong University (No. 14JCY10), and a grant from the Research Grants Council of Hong Kong (No. 28200215).

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    Authors and Affiliations

    1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

      Pei Zhang, Linghan Zheng, Yan Jiang & Bin Sheng

    2. Shanghai University of Sports, Shanghai, China

      Lijuan Mao & Zhen Li

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    1. Pei Zhang
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    2. Linghan Zheng
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    3. Yan Jiang
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    4. Lijuan Mao
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    5. Zhen Li
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    6. Bin Sheng
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    Correspondence to Bin Sheng.

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    Pei Zhang and Linghan Zheng contributed equally to this work.

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    Zhang, P., Zheng, L., Jiang, Y. et al. Tracking soccer players using spatio-temporal context learning under multiple views. Multimed Tools Appl 77, 18935–18955 (2018). https://doi.org/10.1007/s11042-017-5316-3

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    • DOI: https://doi.org/10.1007/s11042-017-5316-3

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