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  1. 1

    The development of automatic training analysis using 3D accelerometer in male young elite soccer team

    Magome, T., Tanaka, T., Yamaguchi, T.
    Published in Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 (2024)
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  2. 2

    A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games

    Cioppa, A., Deliège, A., Van Droogenbroeck, M.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018)
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  3. 3

    Associative embedding for team discrimination

    Istasse, M., Moreau, J., De Vleeschouwer, C.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019)
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  4. 4

    Pose-guided R-CNN for jersey number recognition in sports

    Liu, H., Bhanu, B.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019)
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  5. 5

    Fünf Faktoren der Spielbeschleunigung. Mit Vororientierung, Fantasie, Automatismen, Passqualität und Schnelligkeit das Spieltempo anziehen (Five factors of game acceleration. Picking up the pace of play with pre-orientation, imagination, automatism, passing quality and speed)

    Nopp, S.
    Published in fussball training (2020)
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  6. 6

    Entwicklung eines Machine-Learning-Tools zur automatisierten Erkennung und Klassifikation von Kopfballereignissen auf der Basis von 3D-Beschleunigungsdaten eines am Kopf getragenen... (Development of a machine learning tool for automated detection and classification of heading events based on 3D acceleration data from a head-worn inertial sensor)

    Kern, J., Lober, T., Endo, S., Hermsdörfer, J.
    Published in spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (2020)
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