An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos

An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos

Videos represent the primary source of information for surveillance applications. Video material is often available in large quantities but in most cases it contains little or no annotation for supervised learning. This article reviews the state-of-the-art deep learning based methods for video anoma...

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Bibliographic Details
Main Authors: B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Journal of Imaging
Subjects:
unsupervised methods
anomaly detection
representation learning
autoencoders
LSTMs
generative adversarial networks
Variational Autoencoders
predictive models
Online Access:http://www.mdpi.com/2313-433X/4/2/36

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http://www.mdpi.com/2313-433X/4/2/36

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