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Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network

Crowd anomaly detection is crucial in enhancing surveillance and crowd management. This paper proposes an efficient approach that combines spatial and temporal visual descriptors, sparse feature tracking, and neural networks for efficient crowd anomaly detection. The proposed approach utilises diver...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sarah Altowairqi, Suhuai Luo, Peter Greer, Shan Chen
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-05-01
Schriftenreihe:Applied Sciences
Schlagworte:
crowd anomaly detection
visual descriptor
sparse feature tracking
neural networks
Online-Zugang:https://www.mdpi.com/2076-3417/14/9/3928
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