Channel-wise attention model-based fire and rating level detection in video
Channel-wise attention model-based fire and rating level detection in video
About this item
Full title
Author / Creator
Publisher
Beijing: The Institution of Engineering and Technology
Journal title
Language
English
Formats
Publication information
Publisher
Beijing: The Institution of Engineering and Technology
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More information
Scope and Contents
Contents
Due to natural disaster and global warning, one can expect unexpected fire, which causes panic among people and extent to death. To reduce the impact of fire, the authors propose a new method for predicting and rating fire in video through deep-learning models in this work such that rescue team can save lives of people. The proposed method explores...
Alternative Titles
Full title
Channel-wise attention model-based fire and rating level detection in video
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1049_trit_2019_0022
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1049_trit_2019_0022
Other Identifiers
ISSN
2468-2322
E-ISSN
2468-2322
DOI
10.1049/trit.2019.0022
