Parallel tracking of all soccer players by integrating detected positions in multiple view images

Sachiko Iwase, Hideo Saito

研究成果: Conference contribution

67 引用 (Scopus)

抜粋

Soccer, one of the popular sports around the world, is often broadcasted on TV, and various researches have done on soccer scene images such as strategy analysis, scene recovery, automatic indexing of soccer scenes, and automatic intelligent sports casting. As robust player tracking is fundamental to those researches, there is a demand for an automatic player tracking system using soccer imaging data. In this paper, we propose a method of tracking soccer players using multiple views. Tracking is done by integrating the tracking data from all cameras, using the geometrical relationship between cameras called homography. Integrating information from all cameras enables stable tracking on the scene, where the tracking by a single camera often fails in the case of occlusion.

元の言語English
ホスト出版物のタイトルProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編集者J. Kittler, M. Petrou, M. Nixon
ページ751-754
ページ数4
DOI
出版物ステータスPublished - 2004 12 20
イベントProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
継続期間: 2004 8 232004 8 26

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
4
ISSN(印刷物)1051-4651

Other

OtherProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
United Kingdom
Cambridge
期間04/8/2304/8/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • これを引用

    Iwase, S., & Saito, H. (2004). Parallel tracking of all soccer players by integrating detected positions in multiple view images. : J. Kittler, M. Petrou, & M. Nixon (版), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 751-754). (Proceedings - International Conference on Pattern Recognition; 巻数 4). https://doi.org/10.1109/ICPR.2004.1333881