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Reale Datensätze – Videodaten

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Sportinformatik

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Zusammenfassung

In diesem Kapitel werden die Anwendungen von Videodaten für Sportanalysen anhand von Beispielen aus der Domäne Fußball diskutiert. Videodaten bilden sportartspezifische Aktionen, Handlungen und Bewegungen ab, die viele Informationen für weitergehende Analysen enthalten. Ansätze im Bereich des maschinellen Sehens erlauben es, Videos und Positionsdaten automatisch mit zeitgenauen Informationen anzureichern, um beispielsweise eine effiziente Suche in Videos und großen Videosammlungen zu ermöglichen. Zudem können Positionsdaten aus Videoaufzeichnungen geschätzt werden, die eine Reihe anderer Anwendungen ermöglichen. Die Entwicklung echtzeitfähiger Ansätze könnte künftig dazu beitragen, Aktionen, Ereignisse und Bewegungen in Einzel- und Mannschaftssportarten live auswerten und analysieren zu können.

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Author information

Authors and Affiliations

  1. TIB - Leibniz-Informationszentrum Technik und Naturwissenschaften, Hannover, Deutschland

    Ralph Ewerth

  2. Forschungszentrum L3S, Leibniz Universität Hannover, Hannover, Deutschland

    Ralph Ewerth

  3. Universität Hannover, Hannover, Deutschland

    Eric Müller-Budack & Wolfgang Gritz

Authors
  1. Eric Müller-Budack
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  2. Wolfgang Gritz
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  3. Ralph Ewerth
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Corresponding author

Correspondence to Ralph Ewerth .

Editor information

Editors and Affiliations

  1. Institut für Trainingswissenschaft, Deutsche Sporthochschule Köln, Köln, Deutschland

    Daniel Memmert

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© 2023 Der/die Autor(en), exklusiv lizenziert an Springer-Verlag GmbH, DE, ein Teil von Springer Nature

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Müller-Budack, E., Gritz, W., Ewerth, R. (2023). Reale Datensätze – Videodaten. In: Memmert, D. (eds) Sportinformatik . Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-67026-2_4

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