Title:	AICO, Artificial Intelligent COach
Authors:	Marco, Vicent Sanz Ukita, Norimichi Kobayashi, Natsuko Matsuoka, Morito
Citation:	Journal of WSCG. 2020, vol. 28, no. 1-2, p. 27-36.
Issue Date:	2020
Publisher:	Václav Skala - UNION Agency
Document type:	článek article
URI:	http://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf http://hdl.handle.net/11025/38422
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Keywords:	počítačové vidění;zpracování obrazu a videa;rozpoznávání vzorů;sport;UI;Umělá inteligence
Keywords in different language:	computer vision;image and Video Processing;pattern recognition;sport;AI;Artificial Intelligence
Abstract in different language:	Choosing effective strategies before playing against an opponent team is a laborious task and one of the main challenges that American football coaches have to cope with. For this reason, we have developed an artificial intelligent American football coach (AICO), a novel system which helps coaches to decide the best defensive strategies to be used against an opponent. Similar to coaches who prepare a winning game plan based on their vast experience and previously obtained opponents’ statistics, AICO uses power of machine learning and video analysis. Tracking every player of the last recorded matches of the opponent team, AICO learns the strategies used by them and then calculates how successfully their own defensive strategies will perform against them. We have used 7350 videos in our experiments obtaining that AICO can recognize the opponent’s strategies with about 93% accuracy and provides the successful rate of each strategy to be used against them with 94% accuracy.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 28, Number 1-2 (2020)

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