A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection

A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection

To enhance public safety, crowd detection and prevention systems have essentially become a natural means to manage diverse crowded areas, such as urban settings, transportation hubs, and event venues. Recent systems take advantage of the synergy between machine learning, data mining, and image proce...

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Bibliographic Details
Main Authors: Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Crowd detection
feature extraction
crowd decision
fuzzy FCA
neural networks
clustering
Online Access:https://ieeexplore.ieee.org/document/10902376/
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https://ieeexplore.ieee.org/document/10902376/

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