Forest Fire Detection System
2019 ◽
Vol 8
(6S3)
◽
pp. 1138-1142
Keyword(s):
The forest is one of the most important wealth of every country. The forest fires destroys the wildlife habitat, damages the environment, affects the climate, spoils the biological properties of the soil, etc. So the forest fire detection is a major issue in the present decade. At the same time the forest fire have to be detected as fast as possible. In the proposed method, a color spatial segmentation, temporal segmentation, global motion compensation, Support Vector Machine (SVM) classifications are used to detect the fire and to segment the fire from the video sequence. The method is implemented over the two real time data sets. The proposed method is most suitable for segmenting fire events over unconstrained videos in real time.
Keyword(s):
2020 ◽
Vol 9
(6)
◽
pp. 15-17
2020 ◽
Vol 11
(5)
◽
Keyword(s):
2003 ◽
Vol 24
(1)
◽
pp. 9-22
◽
Keyword(s):
2013 ◽
Vol 3
(1)
◽
Keyword(s):