JCP 2013 Vol.8(3): 818-825 ISSN: 1796-203X
doi: 10.4304/jcp.8.3.818-825
doi: 10.4304/jcp.8.3.818-825
Early Flame Detection in Video Sequences based on D-S Evidence Theory
Wenhui Li, Peixun Liu, Ying Wang, Huiying Li, Bo Fu, and Hongyin Ni
College of Computer Science and Technology, Jilin University, Changchun 130012, China
Abstract—A multi-feature fusion early flame detection algorithm based on D-S evidence theory is proposed. In this algorithm, first the method based on YcbCr and RGB color spaces is used for extracting the flame region of interest. Then flame classifiers based on flame flicker frequency and flame image correlation between frames are selected as two features of D-S feature fusion, the basic probability assignment functions of two features are defined. Finally, the combination discipline of D-S evidence theory is used to determine the final result of all the feature classifiers. Experiments show that the proposed detection algorithm gives 89.5% correct flame rate with a 4.5% false alarm rate and the method is efficient and fast with wide application prospects in fire detection.
Index Terms—computer vision, fire detection, feature fusion; D-S evidence theory
Abstract—A multi-feature fusion early flame detection algorithm based on D-S evidence theory is proposed. In this algorithm, first the method based on YcbCr and RGB color spaces is used for extracting the flame region of interest. Then flame classifiers based on flame flicker frequency and flame image correlation between frames are selected as two features of D-S feature fusion, the basic probability assignment functions of two features are defined. Finally, the combination discipline of D-S evidence theory is used to determine the final result of all the feature classifiers. Experiments show that the proposed detection algorithm gives 89.5% correct flame rate with a 4.5% false alarm rate and the method is efficient and fast with wide application prospects in fire detection.
Index Terms—computer vision, fire detection, feature fusion; D-S evidence theory
Cite: Wenhui Li, Peixun Liu, Ying Wang, Huiying Li, Bo Fu, and Hongyin Ni, " Early Flame Detection in Video Sequences based on D-S Evidence Theory," Journal of Computers vol. 8, no. 3, pp. 818-825, 2013.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
-
Nov 14, 2019 News!
Vol 14, No 11 has been published with online version [Click]
-
Mar 20, 2020 News!
Vol 15, No 2 has been published with online version [Click]
-
Dec 16, 2019 News!
Vol 14, No 12 has been published with online version [Click]
-
Sep 16, 2019 News!
Vol 14, No 9 has been published with online version [Click]
-
Aug 16, 2019 News!
Vol 14, No 8 has been published with online version [Click]
- Read more>>