Traffic-sign recognition systems
著者
書誌事項
Traffic-sign recognition systems
（SpringerBriefs in computer science）
Springer, c2011
- : pbk
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
Introduction
Background on Traffic Sign Detection and Recognition
Traffic Sign Detection
Traffic Sign Categorization
Traffic Sign Detection and Recognition System
Conclusions
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