Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild

Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild

Surveillance cameras are being installed in many primary daily living places to maintain public safety. In this video-surveillance context, anomalies occur only for a very short time, and very occasionally. Hence, manual monitoring of such anomalies may be exhaustive and monotonous, resulting in a d...

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Bibliographic Details
Main Authors: Mohammad Ibrahim Sarker, Cristina Losada-Gutiérrez, Marta Marrón-Romera, David Fuentes-Jiménez, Sara Luengo-Sánchez
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
anomaly detection
RGB
CNN
multiple instance learning
video-surveillance
Online Access:https://www.mdpi.com/1424-8220/21/12/3993

Internet

https://www.mdpi.com/1424-8220/21/12/3993

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