Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Real-Time Event Detection in Field Sport Videos

Authors

[ 1 ] Katedra Inżynierii Komputerowej, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

chapter in monograph

Publication language

english

Abstract

EN This chapter describes a real-time system for event detection in sports broadcasts. The approach presented is applicable to a wide range of field sports. Using two independent event detection approaches that work simultaneously, the system is capable of accurately detecting scores, near misses, and other exciting parts of a game that do not result in a score. The results obtained across a diverse dataset of different field sports are promising, demonstrating over 90 % accuracy for a feature-based event detector and 100 % accuracy for a scoreboard-based detector detecting only scores.

Pages (from - to)

293 - 316

DOI

10.1007/978-3-319-09396-3_14

URL

https://link.springer.com/chapter/10.1007/978-3-319-09396-3_14

Book

Computer Vision in Sports

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.