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SpringerBriefs in Computer Science

Traffic-Sign Recognition Systems

Authors: Escalera, S., Baró, X., Pujol, O., Vitrià, J., Radeva, P.

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  • Presents a full generic approach to the detection and recognition of traffic signs, based on state-of-the-art computer vision methods for object detection, and on powerful methods for multiclass classification
  • Surveys a specific methodology for the problem of traffic sign categorization: Error-Correcting Output Codes
  • Includes experimental validation results performed on a mobile mapping application
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eBook 44,02 €
price for Spain (gross)
  • ISBN 978-1-4471-2245-6
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Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-1-4471-2244-9
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This work presents a full generic approach to the detection and recognition of traffic signs. The approach, originally developed for a mobile mapping application, is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes in real time, and to classify each detected sign into a large, extensible set of classes. To address this challenge, several state-of-the-art methods were developed that can be used for different recognition problems. Following an introduction to the problems of traffic sign detection and categorization, the text focuses on the problem of detection, and presents recent developments in this field. The text then surveys a specific methodology for the problem of traffic sign categorization – Error-Correcting Output Codes – and presents several algorithms, performing experimental validation on a mobile mapping application. The work ends with a discussion on future lines of research, and continuing challenges for traffic sign recognition.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-1-4471-2245-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-1-4471-2244-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Traffic-Sign Recognition Systems
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2011
Publisher
Springer-Verlag London
Copyright Holder
Sergio Escalera
eBook ISBN
978-1-4471-2245-6
DOI
10.1007/978-1-4471-2245-6
Softcover ISBN
978-1-4471-2244-9
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VI, 96
Number of Illustrations
34 b/w illustrations
Topics