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 …

Fire is indeed one of the major contributing factors to fatalities, property damage, and
economic disruption. A large number of fire incidents across the world cause devastation …

This work presents a real-time video-based fire and smoke detection using YOLOv2
Convolutional Neural Network (CNN) in antifire surveillance systems. YOLOv2 is designed …

Fire disaster throughout the globe causes social, environmental, and economical damage,
making its early detection and instant reporting essential for saving human lives and …

Smoke detection in Internet of Things (IoT) environment is a primary component of early
disaster-related event detection in smart cities. Recently, several smoke and fire detection …

Early stage smoke detection using image and video analysis is an important area of
research due to its enormous applications in mitigating fire hazards and ensuring …

The progress on fire sensing technologies has been quite substantial in recent years due to
advancements in sensing, information, and communications technologies. In this paper, the …

Smoke detection based on video monitoring is of great importance for early fire warning.
However, most of the smoke detection methods based on neural network only consider the …

Inspired by the recent success of fully convolutional networks (FCN) in semantic
segmentation, we propose a deep smoke segmentation network to infer high quality …

Large-scale fires have been increasingly reported in the news media. These events can
cause a variety of irreversible damage, what encourages the search for effective solutions to …