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Automated Pre-Play Analysis of American Football Formations Using Deep Learning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automated Pre-Play Analysis of American Football Formations Using Deep Learning./
作者:	Newman, Jacob DeLoy.
面頁冊數:	1 online resource (61 pages)
附註:	Source: Masters Abstracts International, Volume: 84-04.
Contained By:	Masters Abstracts International84-04.
標題:	Football. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29404949click for full text (PQDT)
ISBN:	9798352648636

Automated Pre-Play Analysis of American Football Formations Using Deep Learning.
Newman, Jacob DeLoy.

Automated Pre-Play Analysis of American Football Formations Using Deep Learning. - 1 online resource (61 pages)

Source: Masters Abstracts International, Volume: 84-04.

Thesis (M.Sc.)--Brigham Young University, 2022.

Includes bibliographical references

Annotation and analysis of sports videos is a time consuming task that, once automated, will provide benefits to coaches, players, and spectators. American football, as the most watched sport in the United States, could especially benefit from this automation. Manual annotation and analysis of recorded video of American football games is an inefficient and tedious process. Currently, most college football programs focus on annotating offensive formation. As a first step to further research for this unique application, we use computer vision and deep learning to analyze an overhead image of a football play immediately before the play begins. This analysis consists of locating and labeling individual football players, as well as identifying the formation of the offensive team. We obtain greater than 90% accuracy on both player detection and labeling, and 84.8% accuracy on formation identification. These results prove the feasibility of building a complete American football strategy analysis system using artificial intelligence.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352648636Subjects--Topical Terms:

643161
Football.
Index Terms--Genre/Form:

542853
Electronic books.

Automated Pre-Play Analysis of American Football Formations Using Deep Learning.
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502 $a Thesis (M.Sc.)--Brigham Young University, 2022.
504 $a Includes bibliographical references
520 $a Annotation and analysis of sports videos is a time consuming task that, once automated, will provide benefits to coaches, players, and spectators. American football, as the most watched sport in the United States, could especially benefit from this automation. Manual annotation and analysis of recorded video of American football games is an inefficient and tedious process. Currently, most college football programs focus on annotating offensive formation. As a first step to further research for this unique application, we use computer vision and deep learning to analyze an overhead image of a football play immediately before the play begins. This analysis consists of locating and labeling individual football players, as well as identifying the formation of the offensive team. We obtain greater than 90% accuracy on both player detection and labeling, and 84.8% accuracy on formation identification. These results prove the feasibility of building a complete American football strategy analysis system using artificial intelligence.
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538 $a Mode of access: World Wide Web
650 4 $a Football. $3 643161
650 4 $a Neural networks. $3 677449
655 7 $a Electronic books. $2 lcsh $3 542853
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773 0 $t Masters Abstracts International $g 84-04.
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