Deep Football Video Analytics

European Union Flag. European Regional Development Fund. ESPA Project Partnership Agreement 2014-2020: ΑΝΑΠΤΥΞΗ-ΕΡΓΑΣΙΑ-ΑΛΛΗΛΕΓΓΥΗ. EPAnEK 2014-2020: OPERATIONAL PROGRAMME COMPETITIVENESS - ENTREPRENEURSHIP - INNOVATION Co-financed by Greece and the European Union


The project concerns the processing of athletes’ data during football matches with the aim of automatically recognizing their football performance in the match as well as the individual and team characteristics resulting from such processing. For this task, deep learning techniques and neural networks will be used. In this way, it will be possible to extract quantitative and qualitative data related to not only the performances but also the tactics of the teams and athletes.

The implementation will be carried out by combining open source neural network systems with innovative algorithms and techniques of pattern recognition and machine learning by adapting them to specific problems. Project within the framework of the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (EPAnEK)