Video flame and smoke based fire detection algorithms: A literature review
This review is focused on video flame and smoke based fire detection algorithms for both
indoor and outdoor environments. It analyzes and discusses them in a taxonomical manner …
indoor and outdoor environments. It analyzes and discusses them in a taxonomical manner …
[HTML][HTML] Fast forest fire smoke detection using MVMNet
Forest fires are a huge ecological hazard, and smoke is an early characteristic of forest fires.
Smoke is present only in a tiny region in images that are captured in the early stages of …
Smoke is present only in a tiny region in images that are captured in the early stages of …
Automatic fire detection based on soft computing techniques: review from 2000 to 2010
E Mahdipour, C Dadkhah - Artificial intelligence review, 2014 - Springer
Automatic fire detection system is a system that is capable of assessing environmental
factors and their effects on the environment as well as predicting the occurrence of fire in the …
factors and their effects on the environment as well as predicting the occurrence of fire in the …
Computationally efficient wildfire detection method using a deep convolutional network pruned via fourier analysis
In this paper, we propose a deep convolutional neural network for camera based wildfire
detection. We train the neural network via transfer learning and use window based analysis …
detection. We train the neural network via transfer learning and use window based analysis …
3D parallel fully convolutional networks for real-time video wildfire smoke detection
X Li, Z Chen, QMJ Wu, C Liu - IEEE Transactions on Circuits …, 2018 - ieeexplore.ieee.org
Wildfires have devastating consequences on ecological systems and human lives. Accurate
and fast wildfire detection is crucial to reduce damage. The existing smoke detection …
and fast wildfire detection is crucial to reduce damage. The existing smoke detection …
Video smoke detection based on deep saliency network
Video smoke detection is a promising fire detection method, especially in open or large
spaces and outdoor environments. Traditional video smoke detection methods usually …
spaces and outdoor environments. Traditional video smoke detection methods usually …
Additive neural network for forest fire detection
In this paper, we introduce a video-based wildfire detection scheme based on a
computationally efficient additive deep neural network, which we call AddNet. This AddNet is …
computationally efficient additive deep neural network, which we call AddNet. This AddNet is …
Recurrent convolutional network for video-based smoke detection
Video-based smoke detection plays an important role in the fire detection community. Such
interesting topic, however, always suffers from great challenge due to the large variances of …
interesting topic, however, always suffers from great challenge due to the large variances of …
Automated color model–based concrete detection in construction-site images by using machine learning algorithms
Concrete structural component detection in color images is a key pre-process in various
applications such as construction progress measurement, structural health monitoring, and …
applications such as construction progress measurement, structural health monitoring, and …
An effective algorithm to detect both smoke and flame using color and wavelet analysis
S Ye, Z Bai, H Chen, R Bohush… - Pattern Recognition and …, 2017 - Springer
Fire detection is an important task in many applications. Smoke and flame are two essential
symbols of fire in images. In this paper, we propose an algorithm to detect smoke and flame …
symbols of fire in images. In this paper, we propose an algorithm to detect smoke and flame …