Player trajectory reconstruction for tactical analysis

Player trajectory reconstruction for tactical analysis Multimed Tools Appl (2018) 77:30475–30486 https://doi.org/10.1007/s11042-018-6164-5 1 2 1 Liang-Hua Chen · Chih-Wen Su · Hsiang-An Hsiao Received: 15 September 2017 / Revised: 4 April 2018 / Accepted: 21 May 2018 / Published online: 28 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To increase the performance of sport team, the tactical analysis of team from game video is essential. Trajectories of the players are the most useful cues in a sport video for tactical analysis. In this paper, we propose a technique to reconstruct the trajectories of players from broadcast basketball videos. We first propose a mosaic based approach to detect the boundary lines of court. Then, the locations of players are determined by the integration of shape and color visual information. A layered graph is constructed for the detected players, which includes all possible trajectories. A dynamic programming based algorithm is applied to find the trajectory of each player. Finally, the trajectories of players are displayed on a standard basketball court model by a homography transformation. In contrast to related works, our approach exploits more spatio-temporal information in video. Experimental results show that the proposed approach works well and outperforms some existing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Player trajectory reconstruction for tactical analysis

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6164-5
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl (2018) 77:30475–30486 https://doi.org/10.1007/s11042-018-6164-5 1 2 1 Liang-Hua Chen · Chih-Wen Su · Hsiang-An Hsiao Received: 15 September 2017 / Revised: 4 April 2018 / Accepted: 21 May 2018 / Published online: 28 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To increase the performance of sport team, the tactical analysis of team from game video is essential. Trajectories of the players are the most useful cues in a sport video for tactical analysis. In this paper, we propose a technique to reconstruct the trajectories of players from broadcast basketball videos. We first propose a mosaic based approach to detect the boundary lines of court. Then, the locations of players are determined by the integration of shape and color visual information. A layered graph is constructed for the detected players, which includes all possible trajectories. A dynamic programming based algorithm is applied to find the trajectory of each player. Finally, the trajectories of players are displayed on a standard basketball court model by a homography transformation. In contrast to related works, our approach exploits more spatio-temporal information in video. Experimental results show that the proposed approach works well and outperforms some existing

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 28, 2018

References

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