Trajectory Clustering-Based Anomaly Detection in Indoor Human Movement

Human movement anomalies in indoor spaces commonly involve urgent situations, such as security threats, accidents, and fires. This paper proposes a two-phase framework for detecting indoor human trajectory anomalies based on density-based spatial clustering of applications with noise (DBSCAN). The f...

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Detalles Bibliográficos
Autores principales: Lan, Doi Thi, Yoon, Seokhoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058538/
https://www.ncbi.nlm.nih.gov/pubmed/36992030
http://dx.doi.org/10.3390/s23063318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058538/
https://www.ncbi.nlm.nih.gov/pubmed/36992030
http://dx.doi.org/10.3390/s23063318

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