DocumentCode
145685
Title
Shot classification for association football from TV broadcasting
Author
Siles, Francisco
Author_Institution
Sch. of Electr. Eng., Univ. de Costa Rica, San Jose, Costa Rica
fYear
2014
fDate
23-25 Jan. 2014
Firstpage
67
Lastpage
71
Abstract
The paper presents the shot classification algorithm used to classify the scenes from football TV broadcasting, to extract only the far view scenes. The far-view scenes are important for the segmentation and tracking of the players during the game, required for devising an abstract model for the interpretation of the game. The system for developing such a platform is named ACE-Football, and is currently being developed at the PRIS-lab. Results tested using whole games of the latest FIFA´s World Cup (FWC) are presented, and the classification algorithm validated using standard metrics, such as precision, recall and F1-score.
Keywords
image classification; image segmentation; television broadcasting; ACE-Football; F1-score; FIFA world cup; FWC; PRIS-lab; TV broadcasting; association football; far view scenes; player segmentation; player tracking; precision; recall; shot classification; standard metrics; Algorithm design and analysis; Cameras; Classification algorithms; Equations; Games; Mathematical model; TV broadcasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location
Herl´any
Print_ISBN
978-1-4799-3441-6
Type
conf
DOI
10.1109/SAMI.2014.6822378
Filename
6822378
Link To Document