文章基本信息

标题：Early Flame Detection in Video Sequences based on D-S Evidence Theory
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作者：Li, Wenhui ; Liu, Peixun ; Wang, Ying 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2013
卷号：8
期号：3
页码：818-825
DOI：10.4304/jcp.8.3.818-825
语种：English
出版社：Academy Publisher
摘要：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.
关键词：computer vision;fire detection;feature fusion; D-S evidence theory