Authors:
Sebastian Purtak
1
;
Jagoda Lazarek
1
;
2
;
Paweł Gora
1
;
3
and
Łukasz Gąsiorowski
1
Affiliations:
1
Stellis sp. z o.o., Piotrkowska 157A/10.03, 90-270 Lodz, Poland
;
2
Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
;
3
University of Warsaw, Faculty of Mathematics, Computer Science and Mechanics, Banacha 2, 02-097 Warsaw, Poland
Keyword(s):
Computer Vision, Object Detection, Object Tracking, Handball, Futsal, Artificial Intelligence, Sport, Deep Learning, Expert Systems.
Abstract:
Information is the key to success in every area of life, including professional and amateur sports. This is why the recording of matches is so important for sports clubs and organisations, as it allows them to gain an information advantage. In this paper, we present the prototype of the ISVP.AI system, which uses Artificial Intelligence technology to automate the production process of sports recordings in handball and futsal. Our solution involves the use of YOLO family algorithms to detect objects such as players or a ball for each frame of the recording. This information is then used by the expert system, whose task is to detect events relevant to the course of the game. The representation of the state of the game built in this way allows for the automatic production of full sports recordings, match highlights, calculation of statistics and adding effects that improve the attractiveness of the produced recordings. Thanks to this, our system allows for potentially significant reduct
ion of costs associated with recording handball and futsal sports games.
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