Crowd Density Estimation Using Local Binary Pattern Based on an Image

This paper presents a novel approach for texture classification, generalizing the well-known local binary patterns (LBP). In the proposed approach, a local binary pattern (LBP) operator offers a systematic way of analyzing textures. It has a simple theory and combines properties of structural and statistical texture analysis methods. LBP approach is used to find crowd density. This approach estimate the number of person in that image. Firstly system will capture a normal input image then it will be converted it into grey scale image. Following to that LBP feature will be deployed to estimate the number of people and the crowd density. This Local binary pattern has proven and depicted very promising results. Keywords—Local binary pattern(LBP), Crowd density, Thresholding, Foreground, Neighbors