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Pregled bibliografske jedinice broj: 838704

Traffic Signs Shape Recognition Based on Contour Descriptor Analysis


Keser, Tomislav; Kramar, Gabrijela; Nožica, Damir
Traffic Signs Shape Recognition Based on Contour Descriptor Analysis // Proceedings of 2016 International Conference on Smart Systems and Technologies / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana (ur.).
Osijek: Studio HS internet d.o.o., 2016. str. 199-204 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Traffic Signs Shape Recognition Based on Contour Descriptor Analysis

Autori
Keser, Tomislav ; Kramar, Gabrijela ; Nožica, Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 2016 International Conference on Smart Systems and Technologies / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana - Osijek : Studio HS internet d.o.o., 2016, 199-204

ISBN
978-1-5090-3718-6

Skup
2016 International Conference on Smart Systems and Technologies

Mjesto i datum
Osijek, Hrvatska, 12-14.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Contour descriptor; shape recognition; traffic signs detection

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Tomislav Keser (autor)

Citiraj ovu publikaciju

Keser, Tomislav; Kramar, Gabrijela; Nožica, Damir
Traffic Signs Shape Recognition Based on Contour Descriptor Analysis // Proceedings of 2016 International Conference on Smart Systems and Technologies / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana (ur.).
Osijek: Studio HS internet d.o.o., 2016. str. 199-204 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Keser, T., Kramar, G. & Nožica, D. (2016) Traffic Signs Shape Recognition Based on Contour Descriptor Analysis. U: Žagar, D., Martinović, G. & Rimac Drlje, S. (ur.)Proceedings of 2016 International Conference on Smart Systems and Technologies.
@article{article, year = {2016}, pages = {199-204}, keywords = {Contour descriptor, shape recognition, traffic signs detection}, isbn = {978-1-5090-3718-6}, title = {Traffic Signs Shape Recognition Based on Contour Descriptor Analysis}, keyword = {Contour descriptor, shape recognition, traffic signs detection}, publisher = {Studio HS internet d.o.o.}, publisherplace = {Osijek, Hrvatska} }
@article{article, year = {2016}, pages = {199-204}, keywords = {Contour descriptor, shape recognition, traffic signs detection}, isbn = {978-1-5090-3718-6}, title = {Traffic Signs Shape Recognition Based on Contour Descriptor Analysis}, keyword = {Contour descriptor, shape recognition, traffic signs detection}, publisher = {Studio HS internet d.o.o.}, publisherplace = {Osijek, Hrvatska} }




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