Player Tracking for Tactics Analysis
Liang-Hua Chen, Hsiang-An Hsia, Chi-Jui Chen
Journal of E-Technology, Vol. 8, No. 3, 2017.
DOI: 
Link: 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.