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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Principais autores:	B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-02-01
coleção:	Journal of Imaging
Assuntos:	unsupervised methods anomaly detection representation learning autoencoders LSTMs generative adversarial networks Variational Autoencoders predictive models
Acesso em linha:	http://www.mdpi.com/2313-433X/4/2/36
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