Enhancing Video Anomaly Detection Using a Transformer Spatiotemporal Attention Unsupervised Framework for Large Datasets

This work introduces an unsupervised framework for video anomaly detection, leveraging a hybrid deep learning model that combines a vision transformer (ViT) with a convolutional spatiotemporal relationship (STR) attention block. The proposed model addresses the challenges of anomaly detection in vid...

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Prif Awduron:	Mohamed H. Habeb, May Salama, Lamiaa A. Elrefaei
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2024-07-01
Cyfres:	Algorithms
Pynciau:	video anomaly detection unsupervised learning spatiotemporal modeling large datasets
Mynediad Ar-lein:	https://www.mdpi.com/1999-4893/17/7/286
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!