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Recognition of Chinese Traffic Signs from Street Views

Keren Fu (Institutionen för signaler och system, Signalbehandling) ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling)
Göteborg : Chalmers University of Technology, 2015. - 41 s.

This technical report describes the research work on automatic recognizing Chinese traffic signs from an implicit public resource, i.e. street views. First, we give a comprehensive survey on Chinese traffic signs and introduce our approaches for collecting street view images that can be used for experimental purposes. Then, we introduce our coarse-to-fine recognition framework consisting of sign detection, sign salient region segmentation, feature extraction (including simple text recognition from signs), and subsequent sign classification. We also propose to incrementally build a sign dataset in a semi-automatic way, aiming at reducing manual effort. Experiments on collected datasets for both sign detection and classification have validated that the proposed framework is feasible and capable of recognizing multiple categories of Chinese traffic signs in a single input image.

Nyckelord: Traffic sign classification, street view videos, traffic sign detection, Chinese traffic signs.

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Denna post skapades 2015-10-30.
CPL Pubid: 225102


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)



Chalmers infrastruktur

Ingår i serie

R - Department of Signals and Systems, Chalmers University of Technology Technical Report No. R004/2015