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.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.
Using applications and examples which reflect the growing importance of maintenance, this book presents readers with an inter-disciplinary perspective...1,008,83 zł
This book not only discusses clinical applications, but also links HRV to systems biology and theories of complexity. This publication should...467,43 zł
Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of...271,53 zł
Aimed at advanced undergraduate and beginning graduate students, this book provides a first taste of the theory of Lie groups as an appetiser...144,15 zł
This book describes novel and state-of-the-art methods for differentiating between the major types of arrhythmia, structural abnormalities and...669,37 zł
Aimed at 3rd and 4th year undergraduates and beginning graduates, this book provides a gentle introduction to this popular subject. Assuming...180,39 zł
Essential Mathematical Biology is a self-contained introduction to the fast-growing field of mathematical biology. Written for students with...144,15 zł
Here is a detailed, comprehensive presentation of current knowledge about hair and scalp dermoscopy. It offers essential information for differential...887,70 zł
This book conceptualizes supply chain collaboration as seven interconnecting elements including information sharing, incentive alignment, goal...416,39 zł
This proven and internationally recognized text teaches the methods of engineering design as a condition of successful product development. It...461,77 zł
Here is a detailed, comprehensive presentation of current knowledge about hair and scalp dermoscopy. It offers essential information for differential...1,214,94 zł
This book provides a comprehensive basics-to-advanced course in an aero-thermal science vital to the design of engines for either type of craft....487,48 zł
Opinie i recenzje użytkowników
Dodaj opinie lub recenzję dla Traffic-sign recognition systems. Twój komentarz zostanie wyświetlony po moderacji.