Nowadays, the challenges related to technological and environmental development are
becoming increasingly complex. Among the environmentally significant issues, wildfires …

Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …

We proposed a deep learning method for forest fire detection. We train both a full image and
fine grained patch fire classifier in a joined deep convolutional neural networks (CNN). The …

Automated fire detection is an active research topic in computer vision. In this paper, we
propose and analyze a new method for identifying fire in videos. Computer vision-based fire …

This paper proposes a video-based fire detection system which uses color, spatial and
temporal information. The system divides the video into spatio-temporal blocks and uses …

In recent decades, global warming has contributed to an increase in the number and
intensity of wildfires destroying millions hectares of forest areas and causing many …

The determination of flame or fire edges is the process of identifying a boundary between
the area where there is thermochemical reaction and those without. It is a precursor to image …

In this paper, we propose an effective technique that is used to automatically detect fire in
video images. The proposed algorithm is composed of four stages:(1) an adaptive Gaussian …

Electrolysis of a cryolite-alumina melt is accompanied by emission of harmful pollutants into
the atmosphere: hydrogen fluorides, perfluorocarbons, fluorine (gaseous and solid), tarry …