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An Efficient Framework for Fire Detection using Morphological Features

Mangesh S. Tambat1 , Namrata Kodre2 , Shubhangi Shelke3 , Kimaya Chavan4 , Laxman Deokate5

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-5 , Page no. 118-124, May-2016

Online published on May 31, 2016

Copyright © Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate, “An Efficient Framework for Fire Detection using Morphological Features,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.5, pp.118-124, 2016.

MLA Style Citation: Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate "An Efficient Framework for Fire Detection using Morphological Features." International Journal of Computer Sciences and Engineering 4.5 (2016): 118-124.

APA Style Citation: Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate, (2016). An Efficient Framework for Fire Detection using Morphological Features. International Journal of Computer Sciences and Engineering, 4(5), 118-124.

BibTex Style Citation:
@article{Tambat_2016,
author = {Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate},
title = {An Efficient Framework for Fire Detection using Morphological Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {4},
Issue = {5},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {118-124},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=916},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=916
TI - An Efficient Framework for Fire Detection using Morphological Features
T2 - International Journal of Computer Sciences and Engineering
AU - Mangesh S. Tambat, Namrata Kodre, Shubhangi Shelke, Kimaya Chavan, Laxman Deokate
PY - 2016
DA - 2016/05/31
PB - IJCSE, Indore, INDIA
SP - 118-124
IS - 5
VL - 4
SN - 2347-2693
ER -

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Abstract

This paper gives the one of the best solution for the video surveillance in the fire detection. In the market there are most popular two software tools are used to detect the fire and smoke that are “VPlayer” for the fire and smoke detection and another one is “Precise Vision Fire Detection Graphics System” is these system one of the major drawback comes that is, user can get some times false positive result. And in this proposed system we try to reduce the false positive result. And in this system the technique involves fire features, fuzzy logic. And this proposed system is totally software based not any embedded system is used here.

Key-Words / Index Term

RGB Model, Temperal Difference, Fire Morphology, Fuzzy Logic

References

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