Unsupervised Anomaly Detection and Localization Based on Deep Spatiotemporal Translation Network

Unsupervised Anomaly Detection and Localization Based on Deep Spatiotemporal Translation Network

Anomaly detection is of great significance for intelligent surveillance videos. Current works typically struggle with object detection and localization problems due to crowded and complex scenes. Hence, we propose a Deep Spatiotemporal Translation Network (DSTN), novel unsupervised anomaly detection...

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Bibliographic Details
Main Authors: Thittaporn Ganokratanaa, Supavadee Aramvith, Nicu Sebe
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
anomaly localization
spatiotemporal
unsupervised learning
video surveillance
Online Access:https://ieeexplore.ieee.org/document/9031390/

Internet

https://ieeexplore.ieee.org/document/9031390/

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