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Q&A | February 27, 2014

Rene Denfeld: IMG Powell’s Q&A: Rene Denfeld



Describe your latest book. The Enchanted is a story narrated by a man on death row. The novel was inspired by my work as a death penalty... Continue »
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    The Enchanted

    Rene Denfeld 9780062285508

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Other titles in the Springer Briefs in Computer Science series:

Traffic-Sign Recognition Systems (Springerbriefs in Computer Science)

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Traffic-Sign Recognition Systems (Springerbriefs in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

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

Introduction Background on Traffic Sign Detection and Recognition Traffic Sign Detection Traffic Sign Categorization Traffic Sign Detection and Recognition System Conclusions

Product Details

ISBN:
9781447122449
Author:
Escalera, Sergio
Publisher:
Springer
Author:
Vitria, Jordi
Author:
Baró, Xavier
Author:
Radeva, Petia
Author:
Pujol, Oriol
Subject:
Computer Graphics - General
Subject:
Adaboost
Subject:
Embedding of dichotomizers
Subject:
Error correcting output codes
Subject:
multi-class classification
Subject:
object recognition
Subject:
Traffic sign classification
Subject:
Image Processing and Computer Vision
Subject:
Graphics-General
Copyright:
Edition Description:
2011
Series:
SpringerBriefs in Computer Science
Publication Date:
20111028
Binding:
TRADE PAPER
Language:
English
Pages:
102
Dimensions:
235 x 155 mm

Related Subjects

Children's » General
Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » General
History and Social Science » World History » General

Traffic-Sign Recognition Systems (Springerbriefs in Computer Science) New Trade Paper
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Product details 102 pages Springer - English 9781447122449 Reviews:
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