An intelligent system for complex violence pattern analysis and detection-Reference-Cited by-同舟云学术

An intelligent system for complex violence pattern analysis and detection

Published:2021-07-05 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Ullah Fath U Min¹^ORCID,Obaidat Mohammad S.²³⁴^ORCID,Muhammad Khan⁵^ORCID,Ullah Amin¹^ORCID,Baik Sung Wook¹^ORCID,Cuzzolin Fabio⁶^ORCID,Rodrigues Joel J. P. C.⁷⁸^ORCID,Albuquerque Victor Hugo C⁹¹⁰^ORCID

Affiliation:

1. Sejong University Seoul South Korea

2. Founding Dean and Professor College of Computing and Informatics University of Sharjah Sharjah UAE

3. King Abdullah II School of Information Technology, University of Jordan Amman Jordan

4. University of Science and Technology Beijing China

5. School of Convergence, College of Computing and Informatics Sungkyunkwan University Seoul South Korea

6. School of Engineering, Computing and Mathematics Oxford Brookes University Oxford UK

7. Federal University of Piauí (UFPI) Teresina Brazil

8. Instituto de Telecomunicações Covilhã Portugal

9. Graduate Program on Teleinformatics Engineering Federal University of Ceará Fortaleza, Fortaleza/CE Brazil

10. Graduate Program on Electrical Engineering Federal University of Ceará Fortaleza/CE Brazil

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22537

Reference56 articles.

1. Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

2. SultaniW ChenC ShahM. Real‐world anomaly detection in surveillance videos. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition;2018:6479‐6488.

3. A Dempster‐Shafer theory and uninorm‐based framework of reasoning and multiattribute decision‐making for surveillance system

4. Coherence Constrained Graph LSTM for Group Activity Recognition

5. Exploring Temporal Structure of Trajectory Components for Action Recognition

Cited by 38 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

1. Revisiting vision-based violence detection in videos: A critical analysis;Neurocomputing;2024-09

2. An efficient convolutional neural network for detecting the crime of stealing in videos;Entertainment Computing;2024-09

3. Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis;Applied Intelligence;2024-08-26

4. Literature Review of Deep-Learning-Based Detection of Violence in Video;Sensors;2024-06-20

5. Real-time violence detection and localization through subgroup analysis;Multimedia Tools and Applications;2024-05-01