Publication Type:

Conference Paper

Source:

2015 IEEE International Conference on Computer Vision Workshop (ICCVW) (2015)

ISBN:

9781467397117

URL:

http://ieeexplore.ieee.org/document/7406454/?arnumber=7406454&tag=1

Keywords:

bag-of-words framework, baseline classification accuracy, Cameras, foot, games, image classification, Injuries, injury mechanism classification, Physical strength, playing style, reference point, soccer coaches, soccer videos, specific training modules, sport, Training, Trajectory, Video signal processing, Videos

Abstract:

Soccer is a very popular sport but also has a high rate of injuries. In this paper, player falling events in soccer videos are classified into five major categories. These categories have been identified by soccer coaches as the major mechanisms behind player injuries. Automatic detection of these events will be useful to coaches to plan specific training modules and to impart individual training to the players that will enhance their physical strength and also their playing style. A Bag-of-Words framework is used and a baseline classification accuracy is established that will serve as a reference point for further work.

Cite this Research Publication

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Injury Mechanism Classification in Soccer Videos”, in 2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015.

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