@inproceedings{23ae0d42b6a04027a509252fd54689eb,
title = "Running to Get Recognised",
abstract = "This research investigates the use of Convolutional Neural Networks (CNN) and specifically, You Only Look Once ver. 4 (YOLOv4) to detect Racing Bib Numbers (RBNs) in images from running races and then to recognise the actual numbers using Optical Character Recognition (OCR) techniques. Pre-processing and Tesseract OCR were employed to achieve this. Using a self-acquired private dataset we achieve a recall of 0.91, precision of 0.88, an F1-measure of 0.89, and mean average precision (mAP) of 0.935 for detection. Full number recognition of 71\% is then achieved on the successfully detected RBNs. Additionally, the proposed approach attains a very low average inference time of 23.5 ms compared to a previous best recorded time of 750 ms. This is achieved this with a relatively small training set of 1374 images, where previous research used 498,385 labelled images.",
keywords = "Convolutional Neural Networks, Machine vision, Racing Bib Number",
author = "Gerard Carty and Raja, \{Muhammad Adil\} and Conor Ryan",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 6th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2020 ; Conference date: 14-10-2020 Through 17-10-2020",
year = "2021",
doi = "10.1007/978-981-16-0425-6\_1",
language = "English",
isbn = "9789811604249",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--17",
editor = "Thampi, \{Sabu M.\} and Sri Krishnan and Hegde, \{Rajesh M.\} and Domenico Ciuonzo and Thomas Hanne and \{Kannan R.\}, Jagadeesh",
booktitle = "6th International Symposium, SIRS 2020, Revised Selected Papers",
}