Traffic-sign Recognition Systems

E-Book Overview

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.

E-Book Content

SpringerBriefs in Computer Science Series Editors Stan Zdonik Peng Ning Shashi Shekhar Jonathan Katz Xindong Wu Lakhmi C. Jain David Padua Xuemin Shen Borko Furht For further volumes: http://www.springer.com/series/10028 Sergio Escalera Xavier Baró Oriol Pujol Jordi Vitrià Petia Radeva • • • Traffic-Sign Recognition Systems 123 Dr. Sergio Escalera Department of Applied Mathematics and Analysis University of Barcelona Gran Via de les Corts Catalanes 585 08007 Barcelona Spain e-mail: [email protected] Dr. Jordi Vitrià Department of Applied Mathematics and Analysis University of Barcelona Gran Via de les Corts Catalanes 585 08007 Barcelona Spain e-mail: [email protected] Dr. Xavier Baró Department of Computer Science Universitat Oberta de Catalunya Rambla del Poblenou 158 Barcelona Spain e-mail: [email protected] Dr. Petia Radeva Department of Applied Mathematics and Analysis University of Barcelona Gran Via de les Corts Catalanes 585 08007 Barcelona Spain e-mail: [email protected] Dr. Oriol Pujol Department of Applied Mathematics and Analysis University of Barcelona Gran Via de les Corts Catalanes 585 08007 Barcelona Spain e-mail: [email protected] ISSN 2191-5768 ISBN 978-1-4471-2244-9 DOI 10.1007/978-1-4471-2245-6 e-ISSN 2191-5776 e-ISBN 978-1-4471-2245-6 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2011936533 Ó Sergio Escalera 2011 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to t
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