Flame detection method in video using covariance descriptors
Date
2011
Advisor
Instructor
Source Title
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Print ISSN
1520-6149
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
1817 - 1820
Language
English
Type
Conference Paper
Journal Title
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Volume Title
Abstract
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.
Course
Other identifiers
Book Title
Keywords
covariance descriptors, fire detection, support vector machines, Covariance features, Descriptors, Feature vectors, fire detection, Fire detection systems, Flame detection, Spatio-temporal, Support vector, SVM classifiers, Temporal characteristics, Video data, Covariance matrix, Fire detectors, Speech communication, Support vector machines, Video recording, Signal detection