Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model

Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model

ABSTRACT Automatic detection of unusual behavior in videos is a challenging task. This challenge comes from its complexity and the wide range of applications it covers. Several deep learning approaches have been proposed to address this challenge. This includes recent generative methods that use dee...

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Bibliographic Details
Main Authors: Setegn Asnakew Kasegn, Ronald Waweru Mwangi, Michael Kimwele, Surafel Lemma Abebe
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Engineering Reports
Subjects:
deep convolutional generative adversarial network
deep learning
gated recurrent unit
spatial and temporal feature extraction
surveillance video abnormal behavior detection
Online Access:https://doi.org/10.1002/eng2.70177
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https://doi.org/10.1002/eng2.70177

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