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 …

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

Wildfires are a worldwide natural disaster causing important economic damages and loss of
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …

Existing vision-based smoke recognition methods still face the issues of low detection rates
and high false alarm rates in complex scenes. One reason is that they label light smoke and …

Forest fires pose a significant threat to both the economy and ecology, causing extensive
damage. Smoke serves as a crucial indicator of forest fires, often appearing before the …

Automatic real-time fire characterization is a crucial requirement of future smart firefighting.
This work proposes a novel computer vision method to automatically measure the fire heat …

Fire detection is crucial in the protection of human life and property. Traditional
methodologies and deep learning techniques have been extensively employed in this area …

The recent development of deep learning based fire detection techniques and the
availability of smart cameras able to execute these algorithms on the edge paved the way for …

To obtain real-time performance on computation limited devices, we propose a lightweight
network for smoke segmentation. To enhance the ability of feature encoding, we first …

In recent years, frequent forest fires have plagued countries all over the world, causing
serious economic damage and human casualties. Faster and more accurate detection of …