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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • 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