Flame detection method in video using covariance descriptors
Çetin, A. Enis
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
1817 - 1820
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Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance 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. © 2011 IEEE.
support vector machines
Fire detection systems
Support vector machines
Published Version (Please cite this version)http://dx.doi.org/10.1109/ICASSP.2011.5946857
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