Fire and flame detection methods in images and videos
Habiboğlu, Yusuf Hakan
Çetin, A. Enis
Item Usage Stats
MetadataShow full item record
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.
KeywordsFisher’s linear discriminant
artificial neural networks
TA1637 .H33 2010
Image processing--Digital techniques.
Visual texture recognition.
Neural networks (Computer science)