Resimlerde ve videolarda ateş ve alev tespiti yöntemleri

In this thesis, automatic fire detection methods are studied incolor domain, spatial domain and temporal domain. We firstinvestigated fire and flame colors of pixels. Chromatic Model,Fisher's linear discriminant, Gaussian mixture color model andartificial neural networks are implemented and tested for flamecolor modeling. For images a system that extracts patches andclassifies them using textural features is proposed. Performance ofthis system is given according to different thresholds and differentfeatures. A real-time detection system that uses information incolor, spatial and temporal domains is proposed for videos. Thissystem, which is develop by modifying previously implementedsystems, divides video into spatiotemporal blocks and uses featuresextracted from these blocks to detect fire.