Automatic Traffic Sign Detection and Recognition Using Colour Segmentation and Shape Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119856" target="_blank" >RIV/00216305:26220/16:PU119856 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1051/matecconf/20166817002" target="_blank" >http://dx.doi.org/10.1051/matecconf/20166817002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/20166817002" target="_blank" >10.1051/matecconf/20166817002</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Traffic Sign Detection and Recognition Using Colour Segmentation and Shape Identification
Original language description
The paper describes a colour-based segmentation method of European traffic signs for detection in an image and a feature-based recognition method for categorizing them into given classes. At first, we have performed analysis of several well-known colour spaces as the RGB, HSV and YCbCr often used for segmentation purposes. The HSV colour space has been chosen as the most convenient for segmentation step and colour-based models of traffic signs representatives were created. Next, the fast radial symmetry (FRS) detection method and the Harris corner detector were used to recognize circles, triangles and squares as main geometrical shapes of the traffic signs. For these purposes a new gallery of real-life images containing traffic signs has been created and analysed. Overall efficiency of our recognition method is approx. 93 % on our gallery and is usable for real-time implementations.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MATEC Web of Conferences
ISSN
2261-236X
e-ISSN
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Volume of the periodical
68
Issue of the periodical within the volume
1
Country of publishing house
FR - FRANCE
Number of pages
6
Pages from-to
1-6
UT code for WoS article
000387731800087
EID of the result in the Scopus database
2-s2.0-84982162311