Spatio-Temporal Data Augmentation for Visual Surveillance

Spatio-Temporal Data Augmentation for Visual Surveillance

Visual surveillance aims to detect a foreground object using a continuous image acquired from a fixed camera. Recent deep learning methods based on supervised learning show superior performance compared to classical background subtraction algorithms. However, there is still room for improvement in t...

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Bibliographic Details
Main Authors: Jae-Yeul Kim, Jong-Eun Ha
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Visual surveillance
data augmentation
generalization power
deep learning
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9650910/

Internet

https://ieeexplore.ieee.org/document/9650910/

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