Abstract: Nowadays, many emergency systems and surveillance systems are related to the management of the crowd. The supervision of a crowded area presents a great challenge especially when the size of the crowd is unknown. This issue presents a point of start to the field of the estimation of the crowd based on density or counts. The density of a crowded area is one of the important topics dealt with in many kinds of applications like surveillance, security, biology, traffic. In this paper, we try not only to present a deep review of the different approaches/techniques used in the previous works to estimate the size of the crowd but also to describe the different datasets used. A comparison of some related works based on the weakness and the strength features of each approach is highlighted to show the important research key related to the field of the estimation of the crowded area.

Shaya A Alshaya, “Open Challenges for Crowd Density Estimation” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110123

@article{Alshaya2020,
title = {Open Challenges for Crowd Density Estimation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110123},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110123},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Shaya A Alshaya}
}