Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Crowd counting and density estimation is still one of the important task in video surveillance.
Usually a regression based method is used to estimate the number of people from a …

People counting is one of the key techniques in video surveillance. This task usually
encounters many challenges in crowded environment, such as heavy occlusion, low …

Counting precisely the number of people in a crowd is one of the most attractive issues for
video analytics application. In this paper, an integrated method using Histogram of Oriented …

We describe a method for detecting heads in order to count people in crowded
environments using a single camera. The main difference between this method and …

Novel computer vision techniques have been developed for automatic monitoring of crowed
environments such as airports, railway stations and shop** malls. Using video feeds from …

A framework for crowd modeling using a combination of multiple kernel learning (MKL)-
based fast head detection and shape-aware matching is proposed. First, the MKL technique …

In this paper we have presented and enhanced methodology for robust detection of human
in videos. Our research covers most of the limitations for detection of human in crowded …

In any public gathering, to ensure the safety of the people during or after any kind of natural
or man-made calamities, counting the number of people in a crowd is of paramount …

Covid-19 causes one of the most alarming global health and economic crises in modern
times. Countries around the world establish different preventing measures to stop or control …