Crowd Counting: A Survey of Machine Learning Approaches
| Author | Abdou, Mohamed |
| Author | Erradi, Abdelkarim |
| Available date | 2023-04-10T09:10:03Z |
| Publication Date | 2020 |
| Publication Name | 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020 |
| Resource | Scopus |
| 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. |
| Sponsor | ACKNOWLEDGMENT This research was made possible by UREP24-125-1-030 grant from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | crowd behavior analysis crowd counting crowd counting at bus stops machine learning |
| Type | Conference Paper |
| Pagination | 48-54 |
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