A novel efficient video smoke detection algorithm using co-occurrence of local binary pattern variants
Smoke detection is an advance caution to the unforeseen great damage events. Therefore, it
is required to identify the smoke in the course of initial stages for preventing fire events. A …
is required to identify the smoke in the course of initial stages for preventing fire events. A …
Deep neural network with walsh-hadamard transform layer for ember detection during a wildfire
In this article, we describe an ember detection method in infrared (IR) video. Embers, also
called firebrands, can act as wildfire super-spreaders. We develop a novel neural network …
called firebrands, can act as wildfire super-spreaders. We develop a novel neural network …
A hybrid method for fire detection based on spatial and temporal patterns
PVAB de Venâncio, RJ Campos, TM Rezende… - Neural Computing and …, 2023 - Springer
Fire detection is a vital task for social, economic and environmental reasons. Early
identification of fire outbreaks is crucial in order to limit the damage that will be sustained. In …
identification of fire outbreaks is crucial in order to limit the damage that will be sustained. In …
Early wildfire smoke detection based on motion-based geometric image transformation and deep convolutional generative adversarial networks
Early detection of wildfire smoke in real-time is essentially important in forest surveillance
and monitoring systems. We propose a vision-based method to detect smoke using Deep …
and monitoring systems. We propose a vision-based method to detect smoke using Deep …
[PDF][PDF] Smoke detection in video sequences based on dynamic texture using volume local binary patterns
In this paper, a video based smoke detection method using dynamic texture feature
extraction with volume local binary patterns is studied. Block based method was used to …
extraction with volume local binary patterns is studied. Block based method was used to …
Wildfire smoke detection based on local extremal region segmentation and surveillance
Z Zhou, Y Shi, Z Gao, S Li - Fire Safety Journal, 2016 - Elsevier
A novel video-based method is proposed for long-distance wildfire smoke detection. Since
the long-distance wildfire smoke usually moves slowly and lacks salient features in the …
the long-distance wildfire smoke usually moves slowly and lacks salient features in the …
Wildfire detection via transfer learning: a survey
This paper presents a comprehensive survey of publicly available neural network models
specifically designed for detecting wildfires using regular visible-range cameras positioned …
specifically designed for detecting wildfires using regular visible-range cameras positioned …
3DVSD: An end-to-end 3D convolutional object detection network for video smoke detection
Y Huo, Q Zhang, Y Zhang, J Zhu, J Wang - Fire safety journal, 2022 - Elsevier
In addition to static features, dynamic features are also important for smoke recognition. 3D
convolution can extract temporal and spatial information from video sequences. Currently …
convolution can extract temporal and spatial information from video sequences. Currently …
FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets
Data availability and quality are crucial for the development of semantic segmentation
techniques. However, creating high-quality fire scene datasets in a safe and efficient manner …
techniques. However, creating high-quality fire scene datasets in a safe and efficient manner …
Fireground location understanding by semantic linking of visual objects and building information models
This paper presents an outline for improved localization and situational awareness in fire
emergency situations based on semantic technology and computer vision techniques. The …
emergency situations based on semantic technology and computer vision techniques. The …