Stop Sign Detection with Logistic Regression

Abstract

In this project, we propose a linear classifier by Logistic Regression to detect red and non-red pixels given an image. The linear classifier generates a mask as a result of color segmentation. We then apply dilation and erosion to the segmentation mask, following by filling holes and removing small clusters. Finally, we use processed result decide the position of stop signs and draw bounding boxes.