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 :
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