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

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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Bibliographic Details
Main Authors:	Iván García-Aguilar, Rafael Marcos Luque-Baena, Enrique Domínguez, Ezequiel López-Rubio
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Sensors
Subjects:	anomaly detection convolutional neural network super-resolution
Online Access:	https://www.mdpi.com/1424-8220/23/16/7185

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