Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features
Smoke detection is a very key part of fire recognition in a forest fire surveillance video since the smoke produced by forest fires is visible much before the flames. The performance of smoke video detection algorithm is often influenced by some smoke-like objects such as heavy fog. This paper prese...
Saved in:
Main Authors: | Yaqin Zhao, Zhong Zhou, Mingming Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/706187 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory
by: Yaqin Zhao
Published: (2015-01-01) -
Capsule neural network and adapted golden search optimizer based forest fire and smoke detection
by: Luling Liu, et al.
Published: (2025-02-01) -
Safeguarding forest ecosystems: harnessing IoT for fire detection
by: Iman Atighi, et al.
Published: (2023-12-01) -
Dynamic Properties of a Forest Fire Model
by: Na Min, et al.
Published: (2012-01-01) -
Forest Fire Detection Using Wireless Sensors and Networks
by: Mingyue Wang
Published: (2022-09-01)