DocumentCode :
3260121
Title :
Trajectory Analysis for Soccer Players
Author :
Kang, Chan-Hyun ; Hwang, Jung-Rae ; Li, Ki-Joune
Author_Institution :
Dept. of Comput. Sci. & Eng., Pusan Nat. Univ.
fYear :
2006
fDate :
Dec. 2006
Firstpage :
377
Lastpage :
381
Abstract :
In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful information by analyzing the trajectories of moving objects, which consist of 22 players and a ball. Since each moving object interacts with others and produces a trajectory, its trajectory has a certain number of relationships with others, which are a basic type of information to make soccer strategies. In this paper, we propose a model to quantitatively express the performance of soccer players. This model is based on the relationships between trajectories of 22 players and a ball and allows to evaluate the performance of several players in quantitative way
Keywords :
sport; moving object trajectory; soccer player performance; soccer strategy; trajectory analysis; Books; Computer science; Conferences; Data mining; Geographic Information Systems; Information analysis; Performance analysis; Physics; Statistical analysis; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
Type :
conf
DOI :
10.1109/ICDMW.2006.160
Filename :
4063657
Link To Document :
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