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Traffic-Sign Recognition Systems by Sergio Escalera (English) Paperback Book

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781447122449
Book Title
Traffic-Sign Recognition Systems
ISBN
9781447122449
Series
Springerbriefs in Computer Science Ser.
Publication Year
2011
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Traffic-Sign Recognition Systems
Author
Oriol Pujol, Jordi Vitrià, Sergio Escalera, Petia Radeva, Xavier Baró
Item Length
9.3in
Publisher
Springer London, The Limited
Item Width
6.1in
Item Weight
16 Oz
Number of Pages
VI, 96 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1447122445
ISBN-13
9781447122449
eBay Product ID (ePID)
109004104

Product Key Features

Author
Oriol Pujol, Jordi Vitrià, Sergio Escalera, Petia Radeva, Xavier Baró
Publication Name
Traffic-Sign Recognition Systems
Format
Trade Paperback
Language
English
Series
Springerbriefs in Computer Science Ser.
Publication Year
2011
Type
Textbook
Number of Pages
VI, 96 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
16 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Ta1634
Table of Content
Introduction.- Background on Traffic Sign Detection and Recognition.- Traffic Sign Detection.- Traffic Sign Categorization.- Traffic Sign Detection and Recognition System.- Conclusions.
Copyright Date
2011
Topic
Civil / Highway & Traffic, Civil / Transportation, Computer Vision & Pattern Recognition
Dewey Decimal
625.794
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Technology & Engineering

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grandeagleretail

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