A Real-Time Road Sign Detection Using Bilateral Chinese Transform
Abstract
We present a real-time approach for circular and polygonal road signs detection in still images, regardless of their pose and orientation. Object detection is done using a pairwise gradient-based symmetry transform able to detect circles and polygons indistinctly. This symmetry transform of gradient orientation, the so-called Bilateral Chinese Transform BCT, decomposes an object into a set of parallel contours with opposite gradients, and models this gradient field symmetry using an accumulation of radial symmetry evidences.
On a test database of 89 images 640x480 containing 92 road signs, 79 are correctly detected (86%) with 25 false positives using the BCT approach in about 30 ms/image.
Reference
@inproceedings{jpt-isvc09,
author = {Belaroussi, Rachid and Tarel, Jean-Philippe},
title = {A Real-Time Road Sign Detection Using Bilateral Chinese Transform},
booktitle = {Proceedings of IEEE International Symposium on Visual Computing (ISVC'09)},
date = {November 30-December 2},
address = {Las Vegas, Nevada, USA},
pages = {1161--1170},
year = {2009},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/isvc09.html}
}
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