Paper
30 April 2022 Car number recognition for Formula One driver identification
Kazuya Goto, Katsuto Nakajima
Author Affiliations +
Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217710 (2022) https://doi.org/10.1117/12.2625839
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China
Abstract
We propose a two-stage car number recognition method to identify drivers of Formula One cars displayed in broadcast videos to aid the production of digest videos. The evaluation result demonstrated an accuracy of approximately 90% for the recognition of small and blurry car numbers.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuya Goto and Katsuto Nakajima "Car number recognition for Formula One driver identification", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217710 (30 April 2022); https://doi.org/10.1117/12.2625839
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KEYWORDS
Video

Data modeling

Motion models

Sensors

Image enhancement

Image sensors

Machine vision

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