Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System-Reference-Cited by-同舟云学术

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Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System

Published:2022-05 Issue:3 Volume:36 Page:90-96
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Miao Yiming¹,Yang Jun²,Alzahrani Bander³,Lv Guoguang⁴,Alafif Tarik⁵,Barnawi Ahmed³,Chen Min⁴

Affiliation:

1. School of Data Science, The Chinese University of Hong Kong Shenzhen (CUHK-SZ),China

2. Wuhan University of Technology,China

3. Faculty of Computing and Information Technology, King Abdulaziz University,Jeddah,Saudi Arabia

4. School of Computer Science and Technology, Huazhong University of Science and Technology,China

5. Jamoum University College, Umm Al-Qura University,Makkah,Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9829306/09829310.pdf?arnumber=9829310

Reference15 articles.

1. Aggregated Residual Transformations for Deep Neural Networks

2. Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates

3. Abnormal crowd behavior detection using social force model

4. Anomaly detection in crowded scenes

5. Learning Temporal Regularity in Video Sequences

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