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Fire Flame Detection Based on Color Model and Motion Estimation

Authors
DattathreyaKim, HeegwangPark, JinhoPark, HasilPaik, Joonki
Issue Date
Oct-2016
Publisher
IEEE
Keywords
fire flame detection; motion estimation; color model; accumulation image
Citation
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA)
Journal Title
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA)
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48204
DOI
10.1109/ICCE-Asia.2016.7804813
ISSN
0000-0000
Abstract
Automated fire flame detection in the surveillance system has drawn significant attention. This paper presents a novel fire flame detection algorithm using motion estimation and color information. The key idea is using irregular motion vectors of the fire flame. This paper presents a novel fire flame detection algorithm using motion estimation and color information. The proposed algorithm consists of these following steps; (1) extraction of the fire candidate region in the HSI color space, (2) motion estimation of the candidate region using an optical flow method, (3) quantization of the motion vectors into 8 directions and (4) detection of the region where the motion is generated in various directions as the fire area.
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첨단영상대학원 (영상학과)
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