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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2018-02-01
Sarja:Journal of Imaging
Aiheet:
unsupervised methods
anomaly detection
representation learning
autoencoders
LSTMs
generative adversarial networks
Variational Autoencoders
predictive models
Linkit:http://www.mdpi.com/2313-433X/4/2/36

Internet

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

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