Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring †

This paper proposes a graph-based deep framework for detecting anomalous image regions in human monitoring. The most relevant previous methods, which adopt deep models to obtain salient regions with captions, focus on discovering anomalous single regions and anomalous region pairs. However, they can...

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Detalles Bibliográficos
Autores principales: Zhang, Kang, Fadjrimiratno, Muhammad Fikko, Suzuki, Einoshin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920296/
https://www.ncbi.nlm.nih.gov/pubmed/36772345
http://dx.doi.org/10.3390/s23031307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920296/
https://www.ncbi.nlm.nih.gov/pubmed/36772345
http://dx.doi.org/10.3390/s23031307

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