Anomaly Detection in Videos Using Optical Flow and Convolutional Autoencoder-Reference-Cited by-同舟云学术

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Anomaly Detection in Videos Using Optical Flow and Convolutional Autoencoder

Published:2019 Issue: Volume:7 Page:183914-183923
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Duman Elvan^ORCID,Erdem Osman Ayhan^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08936359.pdf?arnumber=8936359

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey;Electronics;2024-06-30

3. Optimal object stitching and video condensation-aided improved YOLOv5-oriented anomaly object detection framework;International Journal of Wavelets, Multiresolution and Information Processing;2024-06-07

4. A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement;Multimedia Tools and Applications;2024-04-24

5. A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos;Complex & Intelligent Systems;2024-04-15

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