Pedestrians counting system based on head feature

Abstract

A pedestrians counting system based on head feature is established,which is suitable for indoor scene with cameras vertically installed.Firstly,the head model is established to detect the targets,and the model parameters are determined by the feature of shape and color.Secondly,a tracking algorithm is proposed to analyze the targets trajectory through template matching and state prediction.The experimental results show that the system has good effect to bidirectional pedestrians counting,and the accuracy is over 95%.