Fast shape-based road sign detection for a driver assistance system.

Author(s)
Loy, G. & Barnes, N.
Year
Abstract

A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibited by equiangular polygons with a known number of sides, to establish possible shape centroid locations in the image. This approach is invariant to in-plane rotation and returns the location and size of the shape detected. Results on still images show a detection rate of over 95%. The method is efficient enough for real-time applications, such as on-board-vehicle sign detection. (Author/publisher)

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Publication

Library number
20100731 ST [electronic version only]
Source

[Stockholm, KTH Royal Institute of Technology, Computer Vision and Active Perception Laboratory CVAP, 2004], 6 p., 17 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.