@article{2342,
  author = {Liang-Hua Chen, Hsiang-An Hsia, Chi-Jui Chen},
  title = {Player Tracking for Tactics Analysis},
  journal = {Journal of E-Technology},
  year = {2017},
  volume = {8},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jet/fulltext/v8n3/jetv8n3_2.pdf},
  abstract = {To increase the performance of sport team, the tactics analysis of team from game video is essential. Trajectories
of the players are the most useful cues in a sport video for tactics 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 spatiotemporal
information in video. Experimental results show that the proposed approach works well and outperforms some
existing technique.},
}