AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for this task, and we base our method

function [ff] = featurextraction(Broi,I), where Broi is a binary mask of the grayscale image I. The resut ff is a matrix containg the glcm and lbp features of the image I over the binary mask.