Abstract Object detection is one of the hard problems in computer vision. It gets even harder in time demanding tasks such as ADAS. In this chapter, we explained a convolutional neural network that is able to analyze high-resolution images in real time and it accurately finds traffic signs. We showed how to quantitatively analyze the networks and visualize it using an embedding approach.
Detecting Traffic Signs
Guide to Convolutional Neural Networks ; 235-246
2017-01-01
12 pages
Article/Chapter (Book)
Electronic Resource
English
Detection Module , Image Patch , Traffic Sign , Convolutional Neural Network , Convolution Kernel 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