Abstract
The current information systems and match analysis software associated to professional football output a huge amount of statistics. Many football professionals are particularly interested in real time information about the tactical plan occurring during the match, and the relations between that information and what was prepared in the training sessions. It is fundamental to have on the bench, and on-the-fly, the most relevant information each time they have to take a decision. In this paper, we present a set of open source technologies involved in building a multi-platform web based integrated football information system, supported in three main modules: user interfaces, databases, and the tactical plan detection and classification. We show that the selected technologies are suitable for those modules, allowing field occurrences to trigger meaningful information.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Armatas, V., Yiannakos, A., Sileloglou, P.: Relationship between time and goal scoring in soccer games: Analysis of three World Cups. Int. J. of Performance Analysis in Sport 7(2), 48–58 (2007)
Franks, I., Miller, G.: Eyewitness Testimony in Sport. J. of Sport Behaviour 9, 39–45 (1986)
Kizanaro, http://www.kizanaro.com (accessed November 2012)
Tracab, http://www.tracab.com (accessed November 2012)
Prozone, http://www.prozonesports.com (accessed November 2012)
Amisco, http://www.sport-universal.com (accessed November 2012)
Sportvu, http://www.sportvu.com (accessed November 2012)
Kim, H., Kwon, O., Li, K.: Spatial and Spatiotemporal Analysis of Soccer. In: Proc. 19th ACM SIGSPATIAL GIS 2011, Chicago, USA, November 1-4, pp. 385–388 (2011)
Leser, R., Baca, A., Ogris, G.: Local positioning systems in (game) sports. Sensors 11(10), 9778–9797 (2011)
Peña, J.L., Touchette, H.: A Network Theory Analysis of Football Strategies, pp. 1–6 (June 28, 2012), arXiv:1206.6904v1[math.CO]
Duarte, R., Araújo, D., Folgado, H., Esteves, P., Marques, P., Davids, K.: Capturing complex, non-linear team behaviours during competitive football performance. J. Syst. Sci. Complex, 1–11 (2012)
Moura, F., Martins, L., Anido, R., Barros, R., Cunha, S.: Quantitative analysis of Brazilian football players’ organisation on the pitch. Sports Biomech. 11(1), 85–96 (2012)
Pilgrim, M.: HTML5 - Up and Running. O’Reilly Media, Inc. (2010)
HTML5, http://www.w3.org/TR/2011/WD-html5-20110525/ (accessed November, 2012)
Django, http://www.djangoproject.com (accessed November 2012)
Python, http://www.python.org/ (accessed November 2012)
Kaplan-Moss, J., Holovaty, A.: The Definitive Guide to Django: Web Development done Right (Expert’s Voice in Web Development), 2nd edn. Apress (2009)
Oliphant, T.E.: Python for Scientific Computing. Computing in Science & Engineering 9(3), 10–20 (2007)
Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision in C++ with the OpenCV Library. O’Reilly (2012)
Powers, S.: HTML5 Media. O’Reilly (2011)
Pfeiffer, S.: The Definitive Guide to HTML5 Video. Apress (2010)
Casario, M., Elst, P., Brown, C., Wormser, N., Hanquez, C.: HTML5 Solutions - Essential Techniques for HTML5 Developers. Appress (2011)
Meyer, J.: HTML5 and JavaScript Projects. Apress (2011)
Schmitt, C., Simpson, K.: HTML5 Cookbook. O’Reilly (2012)
jQuery:jqueryui.com (accessed November 2012)
Balasubramaniam, R.: Data Security in Relational Database Management System. Int. J. of Computer Science and Security 6(4), 203–210 (2012)
Cattell, R.: Scalable SQL and NoSQL Data Stores. ACM SIGMOD Rec. 39(4), 12–27 (2011)
MySQL, http://www.mysql.com (accessed November 2012)
mongoDB, http://www.mongodb.org (accessed November 2012)
Borrie, A., Jonsson, G.K., Magnusson, M.S.: Temporal Pattern Analysis and its Applicability in Sport: An Explanation and Exemplar Data. J. of Sports Science 20(10), 845–852 (2002)
OpenCV, http://opencv.org (accessed November 2012)
Code: Blocks, http://www.codeblocks.org/ (accessed November 2012)
OpenMP, http://openmp.org/wp/ (accessed November, 2012)
Dearden, A., Demiris, Y., Grau, O.: Tracking Football Player Movement from a Single Moving Camera Using Particle Filters. In: Proc. 3rd Euro. Conf. on Visual Media Production CVMP 2006, London, UK, pp. 29–37 (2006)
Rao, D., Patil, S., Babu, N., Muthukumar, V.: Implementation and Evaluation of Image Processing Algorithms on Reconfigurable Architecture using C-based Hardware Descriptive Languages. Int. J. of Theoretical and Applied Computer Sciences 1(1), 9–34 (2006)
ChiliProject, http://www.chiliproject.org (accessed November 2012)
Git, http://git-scm.com (accessed November 2012)
Doxygen, http://www.stack.nl/~dimitri/doxygen/ (accessed November 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rodrigues, P. et al. (2013). Open Source Technologies Involved in Constructing a Web-Based Football Information System. In: Rocha, Á., Correia, A., Wilson, T., Stroetmann, K. (eds) Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36981-0_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-36981-0_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36980-3
Online ISBN: 978-3-642-36981-0
eBook Packages: EngineeringEngineering (R0)