End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream

End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream

In recent years, the use of drones for surveillance tasks has been on the rise worldwide. However, in the context of anomaly detection, only normal events are available for the learning process. Therefore, the implementation of a generative learning method in an unsupervised mode to solve this probl...

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Bibliografski detalji
Glavni autori: Slim Hamdi, Samir Bouindour, Hichem Snoussi, Tian Wang, Mohamed Abid
Format: Članak
Jezik:English
Izdano: MDPI AG 2021-05-01
Serija:Journal of Imaging
Teme:
anomaly detection
UAV videos
deep one-class
Online pristup:https://www.mdpi.com/2313-433X/7/5/90

Internet

https://www.mdpi.com/2313-433X/7/5/90

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