Recognition of Repetitive Movement Patterns – The Case of Football Analysis

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Feuerhake, Udo: Recognition of Repetitive Movement Patterns – The Case of Football Analysis. In: ISPRS International Journal of Geo-Information 5 (2016), Nr. 11, 208. DOI: http://dx.doi.org/10.3390/ijgi5110208

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/790

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Sum total of downloads: 349




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Abstract: 
Analyzing sports like football is interesting not only for the sports team itself, but also for the public and the media. Both have recognized that using more detailed analyses of the teams’ behavior increases their attractiveness and also their performance. For this reason, the games and the individual players are recorded using specially developed tracking systems. The tracking solution usually comes with elementary analysis software allowing for basic statistical information extraction. Going beyond these simple statistics is a challenging task. However, it is worthwhile when it provides a better view into the tactics of team or the typical movements of an individual player. In this paper an approach for the recognition of movement patterns as an advanced analysis method is presented, which uses the players’ trajectories as input data. Besides individual movement patterns it is also able to detect patterns in relation to group movements. A detailed description is followed by a discussion of the approach, where different experiments on real trajectory datasets, even from other contexts than football, show the method’s benefits and features.
License of this version: CC BY-NC-SA 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 172 49.28%
2 image of flag of United States United States 53 15.19%
3 image of flag of United Kingdom United Kingdom 25 7.16%
4 image of flag of France France 19 5.44%
5 image of flag of Russian Federation Russian Federation 10 2.87%
6 image of flag of Indonesia Indonesia 8 2.29%
7 image of flag of China China 6 1.72%
8 image of flag of Ukraine Ukraine 5 1.43%
9 image of flag of Netherlands Netherlands 5 1.43%
10 image of flag of Ireland Ireland 5 1.43%
    other countries 41 11.75%

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