3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance

As the surveillance devices proliferate, various machine learning approaches for video anomaly detection have been attempted. We propose a hybrid deep learning model composed of a video feature extractor trained by generative adversarial network with deficient anomaly data and an anomaly detector bo...

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Bibliographic Details

Published in:	International journal of neural systems Vol. 30; no. 6; p. 2050034
Main Authors:	Shin, Wonsup, Bu, Seok-Jun, Cho, Sung-Bae
Format:	Journal Article
Language:	English
Published:	Singapore 01.06.2020
Subjects:	3D CNN generative adversarial network Video anomaly detection transfer learning machine learning
ISSN:	1793-6462, 1793-6462
Online Access:	Get more information
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