Abstract
In recent years, most sports such as Soccer are recorded during the actual game and analysed later on by the coaches for training their teams to perform better in the future. The training can be in several aspects such as avoiding fouls,
injuries, improving passes and tactics. Automatic detection/retrieval of such specific events from the video database will be of great assistance to the coaches. In this paper, we analyse Soccer match videos with the objective to detect two events – players playing or falling. Player falling, often leading to injury can be costly for the players’ health and also the team performance as a whole.
injuries, improving passes and tactics. Automatic detection/retrieval of such specific events from the video database will be of great assistance to the coaches. In this paper, we analyse Soccer match videos with the objective to detect two events – players playing or falling. Player falling, often leading to injury can be costly for the players’ health and also the team performance as a whole.
Original language | English |
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Title of host publication | Proceedings of the large scale sports analysis workshop, 21st ACM SIGKDD Conference on knowledge discovery and data mining |
Editors | Thornsten Joachims, Geoff Webb |
Place of Publication | Sydney |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1-4 |
Number of pages | 4 |
Volume | 1 |
ISBN (Print) | 9781450336642 |
Publication status | Published - 2015 |
Event | 21st ACM SIGKDD Conference on knowledge discovery and data mining - Sydney, Sydney, Australia Duration: 10 Aug 2015 → 13 Aug 2015 http://www.kdd.org/kdd2015/ (Conference detail) |
Conference
Conference | 21st ACM SIGKDD Conference on knowledge discovery and data mining |
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Abbreviated title | KDD 2015 |
Country/Territory | Australia |
City | Sydney |
Period | 10/08/15 → 13/08/15 |
Internet address |
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