One of the major responsibilities for forest police is forest fire prevention and forecasting;
therefore, accurate and timely fire detection is of great importance and significance. We …

In recent years, the frequent occurrence of forest fires has caused serious impact on the
environment and economy. Fire detection has become a hot research direction. Despite the …

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 …

To solve the problem of the poor performance of a flame detection algorithm in a complex
forest background, such as poor detection performance, insensitivity to small targets, and …

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 a major disaster in the world, and the fire detection system should accurately detect
the fire in the shortest time to reduce economic loss and ecological damage. Traditional …

Due to its wide monitoring range and low cost, visual-based fire detection technology is
commonly used for fire detection in open spaces. However, traditional fire detection …

Fires can cause extensive damage to human life and property, highlighting the importance
of accurate flame and smoke detection systems. However, current methods for detecting …

Flame recognition is an important technique in firefighting, but existing image flame-
detection methods are slow, low in accuracy, and cannot accurately identify small flame …

Currently, sensor-based systems for fire detection are widely used worldwide. Further
research has shown that camera-based fire detection systems achieve much better results …