Name
Title | ||
|---|---|---|
AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks |
Abstract | ||
|---|---|---|
Analyzing surveillance videos is mandatory for the public and industrial security. Overwhelming growth in computer vision fields has been made to automate the surveillance system in terms of human activity recognition, such as behavior analysis and violence detection (VD). However, it is challenging to detect and analyze the violent scenes intelligently to fulfill the notion of Industrial Internet... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3116377 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Surveillance,Videos,Industrial Internet of Things,Feature extraction,Cloud computing,Artificial intelligence,Smart cities | Journal | 18 |
Issue | ISSN | Citations |
8 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 22 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fath U Min Ullah | 1 | 0 | 0.34 |
| Muhammad Irshan Khan | 2 | 19 | 10.76 |
| Ijaz Ul Haq | 3 | 0 | 0.34 |
| Noman Khan | 4 | 0 | 0.34 |
| Ali Asghar Heidari | 5 | 379 | 23.01 |
| Sung Wook Baik | 6 | 2 | 1.09 |
| João Manuel R. S. Tavares | 7 | 603 | 62.85 |