Traffic sign detection and recognition with methods of computer vision and machine learning
To solve the problem of recognizing traffic signs on video, it is advisable to use the methods of computer vision and machine learning. Sign recognition can be divided into two sequential tasks. The article proposes the Viola-Jones method for object location in an image. Viola-Jones method has proven itself for faces detection. A convolutional neural network is proposed as a classifier, which is well suited for classifying objects in an image. The combination of these two methods allows to achieve high accuracy of traffic recognition with relatively low requirements for computing power. Thus, this can be implemented for a conventional car camcorder.