Cargando…
An IoT Enable Anomaly Detection System for Smart City Surveillance
Since the advent of visual sensors, smart cities have generated massive surveillance video data, which can be intelligently inspected to detect anomalies. Computer vision-based automated anomaly detection techniques replace human intervention to secure video surveillance applications in place from t...
Autores principales: | Islam, Muhammad, Dukyil, Abdulsalam S., Alyahya, Saleh, Habib, Shabana |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966604/ https://www.ncbi.nlm.nih.gov/pubmed/36850955 http://dx.doi.org/10.3390/s23042358 |
Ejemplares similares
-
IoT-Enabled Smart Cities: Evolution and Outlook
por: Bauer, Martin, et al.
Publicado: (2021) -
Efficient Anomaly Detection for Smart Hospital IoT Systems
por: Said, Abdel Mlak, et al.
Publicado: (2021) -
Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision
por: Lynggaard, Per, et al.
Publicado: (2016) -
Enhanced Anomaly Detection System for IoT Based on Improved Dynamic SBPSO
por: Sarwar, Asima, et al.
Publicado: (2022) -
Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT
por: Umair, Muhammad, et al.
Publicado: (2021)