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Techniques and applications for soccer video analysis: A survey

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Abstract

Nowadays, soccer is the most popular sport in our society, followed by millions of people. Consequently, many video analysis applications have been developed in the last years to provide information that can be useful for viewers, referees, coaches and players. Some of these applications are focused on specific tasks, such as detecting players, segmenting the field of play, or registering the broadcast images. On the other hand, there are applications aimed at performing tasks of a higher level, such as event detection or game analysis. Here, the most meaningful techniques and applications that have been proposed throughout the last two decades to analyze soccer video sequences are surveyed. The aim of the paper is not to compare the existing techniques, but to represent a comprehensive and organized showcase for the state-of-the-art in the field: as such, it provides a thorough review of the existing types of soccer analysis applications and the techniques used in each one of them, along with the apparent recent technical trends identified from the most recent works, and discuses the challenges in soccer analysis that still remain unsolved.

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Notes

  1. NNs take their name and behavior from the biological process that occurs in the brain, known as synapses.

  2. Sequence of possible events in which the probability of each event depends only on the state attained in the previous event.

  3. Computation model that can be used to simulate sequential logic.

  4. Approach to variable processing that allows for multiple values to be processed through the same variable. In contrast to probability, which is a mathematical model of ignorance, fuzzy logic uses degrees of truth as a mathematical model of vagueness.

  5. https://chyronhego.com/products/sports-tracking/tracab-optical-tracking/

  6. https://www.stats.com/football/

  7. https://wyscout.com/

  8. http://gpsports.com/football/

  9. https://kinexon.com/

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  1. Grupo de Tratamiento de Imágenes (GTI), Information Processing and Telecommunications Center and ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain

    Carlos Cuevas, Daniel Quilón & Narciso García

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Cuevas, C., Quilón, D. & García, N. Techniques and applications for soccer video analysis: A survey. Multimed Tools Appl 79, 29685–29721 (2020). https://doi.org/10.1007/s11042-020-09409-0

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