Abstract In this chapter, we formulated the problem of traffic sign recognition in two stages namely detection and classification. The detection stage is responsible for locating regions of image containing traffic signs and the classification stage is responsible for finding class of traffic signs. Related work in the field of traffic sign detection and classification is also reviewed. We mentioned several methods based on hand-crafted features and then introduced the idea behind feature learning. Then, we explained some of the works based on convolutional neural networks.
Traffic Sign Detection and Recognition
2017-01-01
14 pages
Article/Chapter (Book)
Electronic Resource
English
Traffic Sign , Sparse Code , Convolutional Neural Network , Advance Driver Assistant System , Feature Extraction Algorithm Computer Science , Pattern Recognition , Information Systems Applications (incl. Internet) , Computer Systems Organization and Communication Networks , Signal, Image and Speech Processing , Language Translation and Linguistics , Automotive Engineering
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