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 …
Advancements in forest fire prevention: A comprehensive survey
Nowadays, the challenges related to technological and environmental development are
becoming increasingly complex. Among the environmentally significant issues, wildfires …
becoming increasingly complex. Among the environmentally significant issues, wildfires …
Convolutional neural networks based fire detection in surveillance videos
The recent advances in embedded processing have enabled the vision based systems to
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
Efficient deep CNN-based fire detection and localization in video surveillance applications
Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …
classification and other computer vision tasks. Their application in fire detection systems will …
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Fire disasters are man-made disasters, which cause ecological, social, and economic
damage. To minimize these losses, early detection of fire and an autonomous response are …
damage. To minimize these losses, early detection of fire and an autonomous response are …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
Fire detection in video surveillances using convolutional neural networks and wavelet transform
Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …
social development. Recently, intelligent fire detection technologies represented by …
Video fire detection–review
This is a review article describing the recent developments in Video based Fire Detection
(VFD). Video surveillance cameras and computer vision methods are widely used in many …
(VFD). Video surveillance cameras and computer vision methods are widely used in many …
Bowfire: detection of fire in still images by integrating pixel color and texture analysis
Emergency events involving fire are potentially harmful, demanding a fast and precise
decision making. The use of crowd sourcing image and videos on crisis management …
decision making. The use of crowd sourcing image and videos on crisis management …
UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs
Fire is a recurring event that usually causes a lot of social, environmental, ecological, and
economic damage in different environments. Therefore, machine vision-based fire detection …
economic damage in different environments. Therefore, machine vision-based fire detection …