accurate fire detection system for various environments using gaussian mixture model and HSV space
Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JIST-1-1_007
تاریخ نمایه سازی: 21 فروردین 1393
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
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Authors
khosro rezaee
Biomedical Engineering Group, Department of Electrical and Computer Engineering, Hakim Sabzevari University
S. Jalal Mousavirad
Faculty of Engineering, Department of Computer and Information Technology, University of Kurdestan
Mohammad Rasegh Ghezelbash
Biomedical Engineering Group, Department of Electrical and Computer Engineering, Hakim Sabzevari University
Javad Haddania
ElectronicEngineering Group, Department of Electrical and Computer Engineering, Hakim Sabzevari University