Pedestrian Detection Based on Histogram of Oriented Gradient in Intelligent Transportation System

Abstract

Pedestrian detection technology which is based on vision is one of the core technologies in the intelligent transportation system. This paper focuses on the image and video in traffic system. The image and video are normalized and are extracted of histograms of oriented gradients (HOG) by using the linear support vector machine (SVM) to construct efficient classifier. It can realize accurate detection of pedestrians in traffic image. Moreover, the pedestrian detection technology is proved in disclosed INRIA database and experiments of actual traffic video image, and the method can rapidly achieve accurate detection results.