Convolutional Neural Networks for Croatian Traffic Signs Recognition (CROSBI ID 644342)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vukotić, Vedran ; Krapac, Josip ; Šegvić, Siniša.
engleski
Convolutional Neural Networks for Croatian Traffic Signs Recognition
We present an approach to recognition of Croatian traffic signs based on convolutional neural networks (CNNs). A library for quick prototyping of CNNs is first developed. An architecture similar to LeNet-5 is then created and tested on the MNIST dataset of handwritten digits where comparable results were obtained. We analyze the FER-MASTIF TS2010 dataset and propose a CNN architecture for traffic sign recognition. The presented experiments confirm the feasibility of CNNs for the defined task and suggest improvements to be made in order to improve recognition of Croatian traffic signs.
Convolutional networks, traffic sign recognition
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Podaci o prilogu
15-20.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Croatian Computer Vision Workshop CCVW 2014
Lončarić, Sven ; Subašić, Marko
Zagreb: Sveučilište u Zagrebu
1849-1227
Podaci o skupu
Croatian Computer Vision Workshop
predavanje
16.09.2014-16.09.2014
Zagreb, Hrvatska