In this paper we present a pipeline for automatic detection of traffic signs in images. The proposed system can deal with high appearance variations, which typically occur in traffic sign recognition applications, especially with strong illumination changes and dramatic scale changes. Unlike most existing systems, our pipeline is based on interest regions extraction rather than a sliding window detection scheme. The proposed approach has been specialized and tested in three variants, each aimed at detecting one of the three categories of Mandatory, Prohibitory and Danger traffic signs. Our proposal has been evaluated experimentally within the German Traffic Sign Detection Benchmark competition.
A traffic sign detection pipeline based on interest region extraction
01.08.2013
419851 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Novel Region of Interest Selection Approach for Traffic Sign Recognition Based on 3D Modelling
British Library Conference Proceedings | 2008
|Springer Verlag | 2011
|TRAFFIC CONGESTION SIGN DETECTION METHOD, PROGRAM, AND TRAFFIC CONGESTION SIGN DETECTION DEVICE
Europäisches Patentamt | 2016
|Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation
Online Contents | 2016
|