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Road-sign identification using ensemble learning

Kouzani, Abbas 2007, Road-sign identification using ensemble learning, in Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, Calif., pp. 438-443.

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Title Road-sign identification using ensemble learning
Author(s) Kouzani, Abbas
Conference name IEEE Intelligent Vehicles Symposium (2007: Istanbul, Turkey)
Conference location Istanbul, Turkey
Conference dates 13-15 June 2007
Title of proceedings Proceedings of the 2007 IEEE Intelligent Vehicles Symposium
Editor(s) Institute of Electrical and Electronics Engineers (IEEE)
Publication date 2007
Conference series Intelligent Vehicles Symposium
Start page 438
End page 443
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Los Alamitos, Calif.
Summary Ensemble learning that combines the decisions of multiple weak classifiers to from an output, has recently emerged as an effective identification method. This paper presents a road-sign identification system based upon the ensemble learning approach. The system identifies the regions of interest that are extracted from the scene into the road-sign groups that they belong to. A large road-sign image dataset is formed and used to train and test the system. Fifteen groups of road signs are chosen for identification. Five experiments are performed and the results are presented and discussed.
ISBN 1424410681
9781424410682
Language eng
Field of Research 080104 Computer Vision
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2007, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008178

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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