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HORÁK, K. ČÍP, P. DAVÍDEK, D.
Originální název
Automatic Traffic Sign Detection and Recognition Using Colour Segmentation and Shape Identification
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Traffic sign, colour segmentation, shape recognition.
Autoři
HORÁK, K.; ČÍP, P.; DAVÍDEK, D.
Vydáno
1. 8. 2016
Nakladatel
EDP Sciences
Místo
EDP Sciences - France
ISBN
2261236X
Kniha
Proceedings of the 3rd International Conference on Industrial Engineering and Applications 2016.
Edice
Volume 68
Číslo edice
17002
ISSN
2261-236X
Periodikum
MATEC Web of Conferences
Ročník
68
Číslo
1
Stát
Francouzská republika
Strany od
Strany do
6
Strany počet
URL
http://dx.doi.org/10.1051/matecconf/20166817002
Plný text v Digitální knihovně
http://hdl.handle.net/11012/203162
BibTex
@article{BUT127252, author="Karel {Horák} and Pavel {Číp} and Daniel {Davídek}", title="Automatic Traffic Sign Detection and Recognition Using Colour Segmentation and Shape Identification", journal="MATEC Web of Conferences", year="2016", volume="68", number="1", pages="1--6", doi="10.1051/matecconf/20166817002", issn="2261-236X", url="http://dx.doi.org/10.1051/matecconf/20166817002" }