Name
Title | ||
|---|---|---|
EFFNet: Enhanced Feature Foreground Network for Video Smoke Source Prediction and Detection |
Abstract | ||
|---|---|---|
Smoke detection in video is a challenging task because of the irregular shape of smoke, its complex motion state, which is affected by temperature, wind and other external factors, and background disturbances. Pixel-based foreground modeling method is a crucial step in many smoke detection systems and can be applied to efficiently focus on a certain object or a specific region to detect movements ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3083112 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Feature extraction,Task analysis,Three-dimensional displays,Monitoring,Dynamics,Shape,Convolutional neural networks | Journal | 32 |
Issue | ISSN | Citations |
4 | 1051-8215 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yichao Cao | 1 | 4 | 1.73 |
| Qingfei Tang | 2 | 1 | 1.36 |
| Xuehui Wu | 3 | 5 | 1.45 |
| Xiaobo Lü | 4 | 17 | 6.52 |