Real Time Crowd Monitoring and Counting

Abstract

During the COVID-19 pandemic, social distancing has become a standard public health intervention around the world. Social distancing is proven to one of the most effective way to control spreading of corona virus and reduce its outbreak. An effective and efficient crowd management and control system should be able to manage the rapid spreading threat of corona virus disease(COVID-19) and help in crowd controlling and social distancing to avoid physical contact between people. In this paper, we proposed a framework of a crowd management system specially designed to keep in check the total number of people in a particular area to help encourage social distancing by using Open-CV and CCTVs or any other source of video input. The proposed method is novel and very fast to detect and count number of people in real time. The Euclidean distance between the centroids of two objects is used to detect and track the movement of an object through out the frame. Thus it helps to check whether the object enters or exits the frame and calculates the total number of humans in a particular area.