Research on Moving Pedestrian Identification Based on Bayesian Classifier

Abstract

Pedestrian identification systemplays an important role in vehicle safetyassistant driving technology. In order toidentify the movement of pedestriansmore quickly and easily, motion pedestrian identification is carried out based on the Bayesian classifier. The identificationprocess was realized in two steps. Firstly, Bayesian classifier is designed based on the HOG feature. Secondly, the image captured by the camera is processed by taking the five-frame difference methodto extract the identification target from the pre-processed images and the HOG feature of the identification target is extracted as the input of the classifier to identify the target. The results show that this method can achieve the goal of identifying pedestrians quickly and simply.