Fire and Smoke Identification Algorithms based on Attention Mechanism

DOI

10.2991/cisia-15.2015.191How to use a DOI?

Keywords

fire; smoke; attention mechanism; otsu; region of interest

Abstract

This paper presents several fire and smoke identification algorithms based on attention mechanism, the proposed algorithms add the attention mechanism into traditional algorithms for the fire and smoke identification, which can get the possible regions of fire and smoke quickly by saliency images, and highly accelerate the computing process. Firstly, the attention mechanism is used to get the saliency images. Secondly, the Otsu method is used to segment the saliency images. Finally, ROIs(Regions of Interest) are analyzed by the fire or smokefeatures, in order to judge whether the fire and smoke exists or not. To judge the fire, the fire color and intensity features are used. Similarly, the color and circularity features are be used to judge the smoke.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T. Luo
AU  - N.F Xiao
PY  - 2015/06
DA  - 2015/06
TI  - Fire and Smoke Identification Algorithms based on Attention Mechanism
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 701
EP  - 703
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.191
DO  - 10.2991/cisia-15.2015.191
ID  - Luo2015/06
ER  -