Flame detection method in video using covariance descriptors
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Date Issued
2011Journal Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Language
English
Type
Conference Paper
Please cite this item using this persistent URL
http://hdl.handle.net/11693/28373Abstract
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.
Published as
http://dx.doi.org/10.1109/ICASSP.2011.5946857Collections
- Conference Paper [2294]
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