Injury mechanism classification in soccer videos

Ramana ORUGANTI, Roland GOECKE

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication2015 IEEE International conference on computer vision workshop (ICCVW)
EditorsGerard Medioni, Octavia Camps
Place of PublicationCalifornia
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages774-779
Number of pages6
Volume1
ISBN (Electronic)9781467397117
ISBN (Print)9781467397100
DOIs
Publication statusPublished - 2015
Event2015 IEEE International Conference on Computer Vision - Santiago, Santiago, Chile
Duration: 11 Dec 201518 Dec 2015

Conference

Conference2015 IEEE International Conference on Computer Vision
Abbreviated titleICCV 2015
CountryChile
CitySantiago
Period11/12/1518/12/15

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ORUGANTI, R., & GOECKE, R. (2015). Injury mechanism classification in soccer videos. In G. Medioni, & O. Camps (Eds.), 2015 IEEE International conference on computer vision workshop (ICCVW) (Vol. 1, pp. 774-779). California: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccvw.2015.105