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Computer Optics, 2015, Volume 39, Issue 5, Pages 795–800
DOI: https://doi.org/10.18287/0134-2452-2015-39-5-795-800 (Mi co46) 		 
This article is cited in 9 scientific papers (total in 9 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Tracking traffic signs in video sequences based on a vehicle velocity

P. Y. Yakimovab

a Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
b Samara State Aerospace University, Samara, Russia
Full-text PDF (742 kB) Citations (9)
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DOI: https://doi.org/10.18287/0134-2452-2015-39-5-795-800
Abstract: The paper proposes an efficient algorithm for road sign detection in a video obtained from a car dash camera. The algorithms for road sign detection and recognition are implemented using CUDA and operate in real time. A vehicle velocity is used to predict the road sign position in adjacent frames in a video sequence. The paper shows that the road sign tracking of this type improves the system reliability. The experimental results have confirmed high efficiency of the developed road sign detection system.
Keywords: traffic sign detection, traffic sign tracking, image processing, computer vision system, GPU.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation RFMEFI57514X0083
The work was supported by the Ministry of Education and Science of the Russian Federation (agreement RFMEFI57514X0083).
Received: 01.04.2015
Revised: 12.10.2015
Document Type: Article
Language: Russian
Citation: P. Y. Yakimov, “Tracking traffic signs in video sequences based on a vehicle velocity”, Computer Optics, 39:5 (2015), 795–800
Citation in format AMSBIB
\Bibitem{Yak15}
\by P.~Y.~Yakimov
\paper Tracking traffic signs in video sequences based on a vehicle velocity
\jour Computer Optics
\yr 2015
\vol 39
\issue 5
\pages 795--800
\mathnet{http://mi.mathnet.ru/co46}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-5-795-800}
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    • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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