Traditional Methods Overview

For the traditional methods, our approach is as follows:

• Build a classifier model that can detect the type (or absence) of a traffic sign in a window of the image.
• Use the sliding window approach to detect traffic signs in the windows and compute the bounding boxes of each traffic sign.

We chose two traditional methods: HOG + SVM and SIFT + XGBoost, which will be described in the next pages.