Traffic Signs Shape Recognition Based on Contour Descriptor Analysis (CROSBI ID 640242)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Keser, Tomislav ; Kramar, Gabrijela ; Nožica, Damir
engleski
Traffic Signs Shape Recognition Based on Contour Descriptor Analysis
Methods for automated traffic sign detection and recognition represents one of many structural pillars and basic building blocks in autonomous and self-aware transportation systems. Computationally efficient and recognition successful methods have great importance in accomplishments of such tasks. This paper presents a novel technique for traffic signs shape recognition that is based on analysis of the signs shape contour descriptors. The primary task of the presented method is proper recognition and classification of signs by their shapes into three basic categories ; circle, triangle and square/rectangle one. The method utilizes a shape contour description in the manner of absolute angular tracing characteristics of a sign shape. Contour descriptors of different sign shapes in various imaging condition are analyzed, results are shown and evaluated. The presented method successfully distinct traffic signs by their shapes and proves the method usability.
Contour descriptor; shape recognition; traffic signs detection
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Podaci o prilogu
199-204.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 2016 International Conference on Smart Systems and Technologies
Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana
Osijek: Studio HS internet
978-1-5090-3718-6
Podaci o skupu
2016 International Conference on Smart Systems and Technologies
predavanje
12.10.2016-14.10.2016
Osijek, Hrvatska