/Traffic_Sign_Recognition

Measuring performance of vision algorithms at recognition of traffic signs. This is the Project that I worked on at my intership.

Primary LanguageHTML

ComputerVisionStuff

This repostory includes the implementations of various approaches to Traffic-sign recognition. alt text

What are these aproaches?

Training different machine learning classifiers with extracted features using various conventional computer vision algorithms.

Computer vision algorithms
  • SIFT - Scale-Invariant Feature Transform
  • LBP - Local Binary Patterns
  • HOG - Histogram of Oriented Gradients
Machine learning classifiers
  • SVM - Support Vector Machine
  • k-NN - K-Nearest Neighbors

The big picture

alt text