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Crowd Counting: A Survey of Machine Learning Approaches

المؤلفAbdou, Mohamed
المؤلفErradi, Abdelkarim
تاريخ الإتاحة2023-04-10T09:10:03Z
تاريخ النشر2020
اسم المنشور2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICIoT48696.2020.9089594
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41797
الملخصCrowd 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.
راعي المشروعACKNOWLEDGMENT 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعcrowd behavior analysis
crowd counting
crowd counting at bus stops
machine learning
العنوانCrowd Counting: A Survey of Machine Learning Approaches
النوعConference Paper
الصفحات48-54
dc.accessType Abstract Only


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