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Real-Time Event Detection in Field Sport Videos

Authors: 

Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Noel O'Connor

Publication Type: 
Book Chapter
Abstract: 
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.
Detail of Publication: 
Book Title: Computer Vision in Sports Copyright Holder name: Springer International Publishing Switzerland
Publication Date: 
14/02/2015
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes