GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos

The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep learning to perform anomaly detection in videos, but this approach has multiple pro...

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Detalles Bibliográficos
Autores principales: Monakhov, Vladimir, Thambawita, Vajira, Halvorsen, Pål, Riegler, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961912/
https://www.ncbi.nlm.nih.gov/pubmed/36850686
http://dx.doi.org/10.3390/s23042087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961912/
https://www.ncbi.nlm.nih.gov/pubmed/36850686
http://dx.doi.org/10.3390/s23042087

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