Fire Detection Based on Color Filters and Bag-of- Features Classification

Incidents or fire outbreaks are very common accidents occurring in Malaysia. The damage caused by this type of incident is very catastrophe towards nature and humans. Due to this fact, the need for fire detection application has greatly increase in recent years. In this paper we proposed a fire dete...

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Main Authors:	Poobalan, Kumaraguru, Liew, Siau-Chuin
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2015
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/13723/ http://umpir.ump.edu.my/id/eprint/13723/ http://umpir.ump.edu.my/id/eprint/13723/1/07449362.pdf http://umpir.ump.edu.my/id/eprint/13723/7/fskkp-2015-liew-Fire%20Detection%20Based%20on%20Color%20Filters.pdf

id	ump-13723
recordtype	eprints
spelling	ump-137232017-03-23T06:26:13Z http://umpir.ump.edu.my/id/eprint/13723/ Fire Detection Based on Color Filters and Bag-of- Features Classification Poobalan, Kumaraguru Liew, Siau-Chuin Q Science (General) Incidents or fire outbreaks are very common accidents occurring in Malaysia. The damage caused by this type of incident is very catastrophe towards nature and humans. Due to this fact, the need for fire detection application has greatly increase in recent years. In this paper we proposed a fire detection algorithm base using a combination of RGB and HSL filter to detect the color of the fire which is mainly comprehended by the intensity of the component R which is red color. Then Bag- of-Features (BoF) classification model was used to classify and calculate the rate for fire present. The overall accuracy of the algorithm obtain is 98% and the efficiency is 89%. The classification rate for the present of fire is 97.6%. IEEE 2015-12-13 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13723/1/07449362.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13723/7/fskkp-2015-liew-Fire%20Detection%20Based%20on%20Color%20Filters.pdf Poobalan, Kumaraguru and Liew, Siau-Chuin (2015) Fire Detection Based on Color Filters and Bag-of- Features Classification. In: IEEE Student Conference on Research and Development (SCOReD 2015), 13-14 December 2015 , Kuala Lumpur . pp. 389-392.. ISBN 978-1-4673-9571-7 http://dx.doi.org/10.1109/SCORED.2015.7449362
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Poobalan, Kumaraguru Liew, Siau-Chuin Fire Detection Based on Color Filters and Bag-of- Features Classification
description	Incidents or fire outbreaks are very common accidents occurring in Malaysia. The damage caused by this type of incident is very catastrophe towards nature and humans. Due to this fact, the need for fire detection application has greatly increase in recent years. In this paper we proposed a fire detection algorithm base using a combination of RGB and HSL filter to detect the color of the fire which is mainly comprehended by the intensity of the component R which is red color. Then Bag- of-Features (BoF) classification model was used to classify and calculate the rate for fire present. The overall accuracy of the algorithm obtain is 98% and the efficiency is 89%. The classification rate for the present of fire is 97.6%.
format	Conference or Workshop Item
author	Poobalan, Kumaraguru Liew, Siau-Chuin
author_facet	Poobalan, Kumaraguru Liew, Siau-Chuin
author_sort	Poobalan, Kumaraguru
title	Fire Detection Based on Color Filters and Bag-of- Features Classification
title_short	Fire Detection Based on Color Filters and Bag-of- Features Classification
title_full	Fire Detection Based on Color Filters and Bag-of- Features Classification
title_fullStr	Fire Detection Based on Color Filters and Bag-of- Features Classification
title_full_unstemmed	Fire Detection Based on Color Filters and Bag-of- Features Classification
title_sort	fire detection based on color filters and bag-of- features classification
publisher	IEEE
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/13723/ http://umpir.ump.edu.my/id/eprint/13723/ http://umpir.ump.edu.my/id/eprint/13723/1/07449362.pdf http://umpir.ump.edu.my/id/eprint/13723/7/fskkp-2015-liew-Fire%20Detection%20Based%20on%20Color%20Filters.pdf
first_indexed	2023-09-18T22:16:39Z
last_indexed	2023-09-18T22:16:39Z
_version_	1777415382290661376

Fire Detection Based on Color Filters and Bag-of- Features Classification

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