An Iterative Learning Scheme with Binary Classifier for Improved Event Detection in Surveillance Video

This paper presents an iterative training framework with a binary classifier to improve the learning capability of a deep learning model for detecting abnormal behaviors in surveillance video. When a deep learning model trained on data from one surveillance video is deployed to monitor another video...

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Bibliographic Details
Main Authors: Cuong H. Tran, Seong G. Kong
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/15/3275