Crowd density estimation based on completed local binary pattern
Jiliu Zhou · Jisuanji gongcheng yu sheji · 2012
To monitor the crowd density of a vital area and take efficient measures to disperse the high density crowd and avoid a series of accidents taking away lives and with great losses of properties,crowd density estimation based on a texture analysis method called completed local binary pattern is presented.Crowd images' local texture features are extracted and joint histogram models of each image are established,and the minimum chi-square distances of histograms are calculated and used to estimate the crowd density in a specified view.The approach presented can be applicable to any levels of crowd density images and get the higher rate of accuracy,the satisfying time consuming,and the strong background robustness,which are demonstrated by the results of the comparative experiments.