… Currently available crowd analysis datasets used for crowd density estimation contains
multiple instances of pedestrians which can be automatically detected. Firstly, HOG [2] is used to …

… Automatic crowd detection in aerial images is certainly a useful source of information to …
We focus on crowded image regions with a crowd density so high that even manual counting is …

… large crowds, proper control and management of crowd is essential. To know … crowd
distribution from the crowd density estimation, crowd density is one of the basic features of the crowd …

… the crowd density, we first automatically selected both deep and handcrafted features that are
the most discriminant for crowd density estimation using … texture representation like texture …

… Crowd density estimation is an effective automated video … In spite of various efforts being
taken to estimate crowd density, it re… texture feature-based approach for the estimation of crowd …

… by large crowds, proper control and management of crowd is … crowd distribution from
the crowd density estimation, crowd … “Automatic estimation of crowd density using texture”, …

… of crowd density estimation is reviewed in this section. Various approaches proposed in
past, which addresses the problem of crowd … The techniques of crowd density estimation are …

… texture featurebased approach for the estimation of crowd … For estimating crowd density
estimation, we first divide the … effectives CBLP features on crowd density estimation. The rest of …

… In this study, the authors used texture analysis for estimating crowd density. … of crowd density
as a response to the texture features. When the pattern of texture is fine, high crowd density …

… Automatic detection of an abnormal crowd in aerial images can … technique using the multiblock
local binary pattern as a texture … to reduce confusion between crowd density classes. The …