Efficient Video Fire Detection Exploiting Motion-Flicker-Based Dynamic Features and Deep Static Features
Since fire is one of the most serious types of accidents that can occur, there is always a need for improvement in fire detection capabilities. Convolutional neural networks (CNNs) have been used for a variety of high-performance computer vision tasks. The use of CNNs to extract deep static features...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9081979/ |