Flame detection method in video using covariance descriptors

Video fire detection system which uses a spatio-temporal co variance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes co variance features extracted from these blocks to detect fire. Feature vectors taking advantage of both the spatial and the...

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Bibliographic Details
Published in2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1817 - 1820
Main Authors Habiboglu, YusufHakan, Gunay, Osman, Cetin, A. Enis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
covariance descriptors
Covariance matrix
fire detection
Fires
Image color analysis
Pixel
Streaming media
Support vector machines
Training
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Summary:Video fire detection system which uses a spatio-temporal co variance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes co variance features extracted from these blocks to detect fire. Feature vectors taking advantage of both the spatial and the temporal characteristics of flame colored regions are classified using an SVM classifier which is trained and tested using video data containing flames and flame colored objects. Experimental results are presented.
ISBN:9781457705380
1457705389
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5946857