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Authors: Alexander Shustanov and Pavel Yakimov

Affiliation: Samara National Research University, Russian Federation

ISBN: 978-989-758-260-8

ISSN: 2184-2825

Keyword(s): TensorFlow, Convolutional Neural Networks, Traffic Sign Recognition, Image Processing, Computer Vision, Mobile GPU.

Related Ontology Subjects/Areas/Topics: Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Neural Networks, Spiking Systems, Genetic Algorithms and Fuzzy Logic ; Telecommunications

Abstract: In recent years, the deep learning methods for solving classification problem have become extremely popular. Due to its high recognition rate and fast execution, the convolutional neural networks have enhanced most of computer vision tasks, both existing and new ones. In this article, we propose an implementation of traffic signs recognition algorithm using a convolution neural network. Training of the neural network is implemented using the TensorFlow library and massively parallel architecture for multithreaded programming CUDA. The entire procedure for traffic sign detection and recognition is executed in real time on a mobile GPU. The experimental results confirmed high efficiency of the developed computer vision system.

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Paper citation in several formats:
Shustanov, A. and Yakimov, P. (2017). A Method for Traffic Sign Recognition with CNN using GPU.In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017) ISBN 978-989-758-260-8, ISSN 2184-2825, pages 42-47. DOI: 10.5220/0006436100420047

@conference{sigmap17,
author={Alexander Shustanov. and Pavel Yakimov.},
title={A Method for Traffic Sign Recognition with CNN using GPU},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)},
year={2017},
pages={42-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006436100420047},
isbn={978-989-758-260-8},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)
TI - A Method for Traffic Sign Recognition with CNN using GPU
SN - 978-989-758-260-8
AU - Shustanov, A.
AU - Yakimov, P.
PY - 2017
SP - 42
EP - 47
DO - 10.5220/0006436100420047

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