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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |