Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance

Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance

Abstract Abnormal event detection in video surveillance is critical for security, traffic management, and industrial monitoring applications. This paper introduces an innovative methodology for anomaly detection in video data, encompassing three primary stages: preprocessing, feature learning, and a...

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Bibliographic Details
Main Authors: Erkan Sengonul, Refik Samet, Qasem Abu Al-Haija, Ali Alqahtani, Rayan A. Alsemmeari, Bandar Alghamdi, Badraddin Alturki, Abdulaziz A. Alsulami
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Discover Internet of Things
Subjects:
Anomaly detection
Video surveillance
Abnormal events
LSTM
Auto-encoders
Local minima
Online Access:https://doi.org/10.1007/s43926-025-00127-3
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https://doi.org/10.1007/s43926-025-00127-3

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