Traffic-Sign Recognition Systems (SpringerBriefs in Computer Science) - Tapa blanda

Libro 9 de 322: SpringerBriefs in Computer Science

Escalera, Sergio

 
9781447122449: Traffic-Sign Recognition Systems (SpringerBriefs in Computer Science)
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ISBN 10: 1447122445 ISBN 13: 9781447122449
Editorial: Springer, 2011

Sinopsis

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.

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De la contraportada

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.

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Editorial
Springer
Año de publicación
2011
Idioma
Inglés
ISBN 10 
1447122445
ISBN 13 
9781447122449
Encuadernación
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Número de páginas
104
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781447122463: Traffic-Sign Recognition Systems

Edición Destacada

ISBN 10:  1447122461 ISBN 13:  9781447122463
Editorial: Springer, 2011
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