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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Vydané v:	International journal of neural systems Ročník 30; číslo 6; s. 2050034
Hlavní autori:	Shin, Wonsup, Bu, Seok-Jun, Cho, Sung-Bae
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore 01.06.2020
Predmet:	3D CNN generative adversarial network Video anomaly detection transfer learning machine learning
ISSN:	1793-6462, 1793-6462
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