Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection

Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection

Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the applicability of supervised methods. This paper introduces an unsupervised end-to-end architecture for video anomaly detection that applies...

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Bibliographic Details
Main Authors: Asim Niaz, Sareer Ul Amin, Shafiullah Soomro, Hamza Zia, Kwang Nam Choi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
autoencoders
computer vision
intelligent surveillance systems
three-dimensional convolutional neural network (3DCNN)
video-based abnormal event detection
Online Access:https://ieeexplore.ieee.org/document/10613764/
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https://ieeexplore.ieee.org/document/10613764/

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