Crowd density estimation of wide scene based on fuzzy neural network
Xiaowei Xu · Jisuanji yingyong yanjiu · 2010
This paper proposed a crowd density estimation method based on a fuzzy neural network.According to the fuzzy phenomena used by human vision,it was more accordant with cognitive style of human vision by using fuzzy sets to describe crowd density range than other definite measures.Defined functions of membership degree of indicators of the grey level dependence matrix(GLDM) by statistical method and designed a fuzzy neural network based on the error back propagation(BP) training algorithm to calculate the membership degree of the input pattern,which could be explained reasonably according to the temporal continuity of variety of the crowd density.Experimental results show this method performs well and improves the accuracy of estimation.