Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

Anomaly detection in sequences is a complex problem in security and surveillance. With the exponential growth of surveillance cameras in urban roads, automating them to analyze the data and automatically identify anomalous events efficiently is essential. This paper presents a methodology to detect...

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Detalles Bibliográficos
Autores principales: García-Aguilar, Iván, Luque-Baena, Rafael Marcos, Domínguez, Enrique, López-Rubio, Ezequiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458462/
https://www.ncbi.nlm.nih.gov/pubmed/37631721
http://dx.doi.org/10.3390/s23167185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458462/
https://www.ncbi.nlm.nih.gov/pubmed/37631721
http://dx.doi.org/10.3390/s23167185

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