Traffic-Sign Recognition Systems (Paperback, 2011)

This work presents a full generic approach to the detection and recognition of traffic signs. The approach 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 research and continuing challenges.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	SpringerBriefs in Computer Science
Release date:	September 2011
First published:	2011
Authors:	Sergio Escalera • Xavier Baro • 'Oriol Pujol • Jordi Vitria • Petia Radeva
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	96
Edition:	2011
ISBN-13:	978-1-4471-2244-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4471-2244-5
Barcode:	9781447122449

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