Realtime Crowd Monitoring—Estimating Count, Speed and Direction of People Using Hybridized YOLOv4

Realtime Crowd Monitoring—Estimating Count, Speed and Direction of People Using Hybridized YOLOv4

Researchers are becoming more interested in crowd surveillance because of its several potential applications. These applications may include detecting unusual activity for security purposes, monitoring reasons for archiving records, and conducting inventory for facility planning and extension. Detec...

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Bibliographic Details
Main Authors: Muhammad Haris Kaka Khel, Kushsairy Abdul Kadir, Sheroz Khan, Mnmm Noor, Haidawati Nasir, Nawaf Waqas, Akbar Khan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Direction estimation
speed estimation
hybrid YOLOv4
crowd monitoring
crowd management
deep learning
Online Access:https://ieeexplore.ieee.org/document/10114068/

Internet

https://ieeexplore.ieee.org/document/10114068/

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