A Real-Time Road Sign Detection Using Bilateral Chinese Transform

  • Authors:
  • Rachid Belaroussi;Jean-Philippe Tarel

  • Affiliations:
  • LEPSIS, INRETS-LCPC, Université Paris Est, Paris, France 75732;LEPSIS, INRETS-LCPC, Université Paris Est, Paris, France 75732

  • Venue:
  • ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
  • Year:
  • 2009

Quantified Score

Hi-index 0.01

Visualization

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.