Unsupervised Anomaly Approach to Pedestrian Age Classification from Surveillance Cameras Using an Adversarial Model with Skip-Connections

Unsupervised Anomaly Approach to Pedestrian Age Classification from Surveillance Cameras Using an Adversarial Model with Skip-Connections

Anomaly detection is an active research area within the machine learning and scene understanding fields. Despite the ambiguous definition, anomaly detection is considered an outlier detection in a given data based on normality constraints. The biggest problem in real-world anomaly detection applicat...

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Bibliographic Details
Main Authors: Husnu Baris Baydargil, Jangsik Park, Ibrahim Furkan Ince
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
anomaly detection
computer vision
surveillance
deep learning
generative adversarial networks
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Online Access:https://doaj.org/article/c41d3f73adc04e91b5517a74029630e8
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