Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Warning and Prohibitory Traffic Sign Detection based on Edge Orientation Gradients (CROSBI ID 620100)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Jurić Darko ; Lončarić Sven Warning and Prohibitory Traffic Sign Detection based on Edge Orientation Gradients // Proceedings of The Croatian Computer Vision Workshop / Lončarić Sven, Subašić Marko (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2014

Podaci o odgovornosti

Jurić Darko ; Lončarić Sven

engleski

Warning and Prohibitory Traffic Sign Detection based on Edge Orientation Gradients

A method for traffic sign shape detection is presented, which does not require extensive training and is based on fast template matching suitable for real-time applications. The proposed method is able to detect prohibitory and warning signs. Post processing phase enables detection verification thus drastically increasing detection accuracy. All method parameters, if required, can be tweaked without the need for time-consuming retraining procedures. The method shows robustness to various conditions that often impose problems for color based systems. The proposed method can be used standalone or with already developed methods as a verification layer.

computer vision; traffic sign detection; template matching

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

2014.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of The Croatian Computer Vision Workshop

Lončarić Sven, Subašić Marko

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

1849-1227

Podaci o skupu

Third Croatian Computer Vision Workshop

predavanje

16.09.2014-16.09.2014

Zagreb, Hrvatska

Povezanost rada

Računarstvo