Fire and flame detection methods in images and videos
Author
Habiboğlu, Yusuf Hakan
Advisor
Çetin, A. Enis
Date
2010Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Show full item recordAbstract
In this thesis, automatic fire detection methods are studied in color domain,
spatial domain and temporal domain. We first investigated fire and flame colors
of pixels. Chromatic Model, Fisher’s linear discriminant, Gaussian mixture color
model and artificial neural networks are implemented and tested for flame color
modeling. For images a system that extracts patches and classifies them using
textural features is proposed. Performance of this system is given according to
different thresholds and different features. A real-time detection system that uses
information in color, spatial and temporal domains is proposed for videos. This
system, which is develop by modifying previously implemented systems, divides
video into spatiotemporal blocks and uses features extracted from these blocks
to detect fire.
Keywords
Fisher’s linear discriminantGabor filters
codifference descriptors
covariance descriptors
artificial neural networks