A fire in a building directly affects the lives of its occupants. Therefore, a safer environmental
system that can minimize the damage caused by a fire occurring indoors needs to be …

Forest fires are destructive and rapidly spreading, causing great harm to forest ecosystems
and humans. Deep learning techniques can adaptively learn and extract features of forest …

Fire is one of the most commonly occurring disasters and is the main cause of catastrophic
personal injury and devastating property damage. An early detection system is necessary to …

Forest fire detection is a challenging problem in computer vision. In this paper, we build a
challenging fire dataset which contains images of fire, smoke, and red leaf to better simulate …

Vision based fire detection system have recently gained popularity as compared to
traditional fire detection system based on sensors. The popularity and need of video …

A fire alarm system (FAS) is a system comprising signalling-alarm devices, which
automatically detect and transmit information about fire, but also receivers of fire alarms and …

Fire detection system in the surveillance system monitors the indoor environment and issues
alarm as part of the early warning mechanism with ultimate goal to provide an alarm at early …

In this paper, we propose a real-time fire detection algorithm for use with a surveillance
camera system. Candidate regions of fire flames are recognized by temporal analysis of the …

Fire detection in buildings is crucial for people's lives and property. Conventional
temperature and smoke sensors have many disadvantages: the limited cover range; …

Automatic fire detection in live video shots is an active research topic as the demand for a
fast and accurate response to fire accidents is high. The fire detection task is still a …