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Fully automated soccer game analysis

Date:
October 26, 2012
Source:
The Research Council of Norway
Summary:
Using entirely new electronic solutions, soccer coaches can provide their players with video analysis as early as half-time or immediately following a match. 

Using entirely new electronic solutions, soccer (also known as football in many European countries) coaches can provide their players with video analysis as early as half-time or immediately following a match. 

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“Coaches and analysts currently spend hours in front of a PC screen going through films and analysing the play of individual players during football matches. It takes a long time before the players get to see the analyses for themselves. Our tools can fully automate much of the process. This allows us to save time and reduce the amount of data involved,” explains Professor Pål Halvorsen of the University of Oslo.

The new solution consists of two systems: Muithu and Bagadus. Muithu is a video-recording system specially designed for sport while Bagadus is an analytics tool integrating a sensor system, soccer analytics annotations and video processing of a video camera array.

These systems open the door to new types of video analysis and have drawn substantial international attention. They have been developed at the centre for Information Access Disruptions (iAD), one of 21 centres granted status as a Centre for Research-based Innovation (SFI) by the Research Council of Norway.

Processing vast amounts of data

The iAD comprises a number of industrial and research partners working in many fields. For the development of sport technology, the Universities of Oslo and Tromsø are collaborating with the Trondheim-based systems development enterprise ZXY Sport Tracking and the Norwegian professional football team, Tromsø Idrettslag.

“The centre is studying the accessing of very large amounts of data in general – how we can compile, save, index and make such data available as quickly as possible to a wide number of users. Top-level sport is an interesting field to work with precisely because it generates enormous amounts of data that need to be analysed quickly.”

Analytical tools for the manager

An innovative group interested in implementing new technology, the football division of the sports club Tromsø Idrettslag has been the test subject for the iAD in 2012. This season the Tromsø club has been using the Muithu system to analyse its matches.

“Normally, the entire analysis team would pore over extensive video recordings after the end of a match,” says Professor Dag Johansen of the University of Tromsø. “But Muithu is a tool for the manager. This system makes it possible for him to put aside pen and paper and review action sequences then and there on his mobile phone without this affecting his coaching responsibilities.”

When the manager presses a key on his mobile phone he sets what is to become the end point of a recorded sequence. Muithu automatically retrieves the previous 15 seconds of footage from six different cameras.

Dedicated social network

“After a match or practice all the video footage selected by the manager is ready for access from the office, eliminating hours of searching through recordings afterwards. Experience indicates that the video recorded is cut down to just five per cent of the former amount,” explains Dr Johansen.

One very important aspect of the system is that a completely new social network has been developed, allowing the manager to send players video clips from matches or practice sessions and discuss specific situations in a dedicated discussion forum.

The sensors follow the players

As an extension of the Muithu solution, the iAD has developed the Bagadus system, which combines data from Muithu with a sensor system developed by ZXY Sport Tracking. The setup is based on sensors attached to belts worn by the players. The sensors continually provide various data such as a player’s position on the field.

“We have integrated the two systems with an array of cameras covering the entire pitch and all players at all times. This makes it possible, for instance, to select and zoom in on all situations where a certain player is within the opponent’s penalty area,” Dr Halvorsen points out. The system delivers a video summary of the selected events in under a second. Using traditional methods it could take hours to achieve the same result.

“The potential of this integration of systems is enormous - and exciting. We envision a scenario in which supporters would be able to search for their favourite players and follow them throughout an entire match, for example, or they could obtain specific video clips they wish to review afterwards,” concludes Dr Halvorsen.


Story Source:

The above story is based on materials provided by The Research Council of Norway. Note: Materials may be edited for content and length.


Cite This Page:

The Research Council of Norway. "Fully automated soccer game analysis." ScienceDaily. ScienceDaily, 26 October 2012. <www.sciencedaily.com/releases/2012/10/121026084540.htm>.
The Research Council of Norway. (2012, October 26). Fully automated soccer game analysis. ScienceDaily. Retrieved November 23, 2014 from www.sciencedaily.com/releases/2012/10/121026084540.htm
The Research Council of Norway. "Fully automated soccer game analysis." ScienceDaily. www.sciencedaily.com/releases/2012/10/121026084540.htm (accessed November 23, 2014).

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