Real Time Crowd Counting using OpenCV
D. Subashree, Shrushti Mhaske, Sonal Yeshwantrao, Ayush Kumar · Zenodo (CERN European Organization for Nuclear Research) · 2021
In this paper we propose a real time crowd counting method using OpenCV. With reference to the previous methods such as edge recognition, morphological filter, SVM order which are not real time applications, our method trains the system using video streaming and provides result in real time. OpenCV for people counting, image processing and deep learning object detector are used. This method leverages both object detection and tracking to improve the accuracy of the people counter.