EAN: 9781447122449

SPRINGERBRIEFS IN COMPUTER SCIENCE TRAFFIC-SI...

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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