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Real-time event classification in field sport videos

Kapela, Rafal, Świetlicka, Aleksandra, Rybarczyk, Andrzej, Kolanowski, Krzysztof and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2015) Real-time event classification in field sport videos. Signal Processing: Image Communication, 35 . pp. 35-45. ISSN 0923-5965

Abstract
The paper presents a novel approach to real-time event detection in sports broadcasts. We present how the same underlying audio-visual feature extraction algorithm based on new global image descriptors is robust across a range of different sports alleviating the need to tailor it to a particular sport. In addition, we propose and evaluate three different classifiers in order to detect events using these features: a feed-forward neural network, an Elman neural network and a decision tree. Each are investigated and evaluated in terms of their usefulness for real-time event classification. We also propose a ground truth dataset together with an annotation technique for performance evaluation of each classifier useful to others interested in this problem.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Real-time sports event detection; Neural networks; State machines; Field sports; Sport broadcast
Subjects:Engineering > Signal processing
Computer Science > Image processing
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/j.image.2015.04.005
Copyright Information:© 2015 Elsevier
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Framework Programme 7
ID Code:20604
Deposited On:10 Jun 2015 09:50 by Noel Edward O'connor . Last Modified 19 Oct 2018 09:51
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