Crowd Counting: A Survey of Machine Learning Approaches

Abstract

Crowd counting is applied in many areas including efficient resources allocation and effective management of emergency situations. In this paper, we survey and compare various crowd counting methods. Additionally, we identify the limitations of existing approaches and sketch an agenda for future work to address the identified open research challenges. Furthermore, we present an enhanced deep learning-based solution for crowd counting at bus stops. 2020 IEEE.