Accurate Fire Detection System for Various Environments using Gaussian Mixture Model and HSV Space
Journal Title: Journal of Information Systems and Telecommunication - Year 2013, Vol 1, Issue 1
Abstract
Smart and timely detection of fire can be very useful in coping with this phenomenon and its inhibition. Enhancing some image analysis methods such as converting RGB image to HSV image, smart selecting the threshold in fire separation, Gaussian mixture model, forming polygon the enclosed area resulted from edge detection and its combination with original image, this papers addresses fire detection. Accuracy and precision in performance and rapid detection of fire are among the features that distinguish this proposed system from similar fire detection systems such as Markov model, GM, DBFIR and other algorithms introduced in valid articles. The average accuracy (95%) resulted from testing 35000 frames in different fire environments and the high sensitivity (96%) was quite significant. This system be regarded as a reliable suitable alternative for the sensory set used in residential areas, but also the high speed image processing and accurate detection of fire in wide areas makes it low cost, reliable and appropriate.
Authors and Affiliations
Khosro Rezaee, S. Jalal Mousavirad, Mohammad RaseghGhezelbash, Javad Haddania
Keywords
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- EP ID EP190123
- DOI 10.7508/jist.2013.01.007
- Views 122
- Downloads 0
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