Multi color feature, background subtraction and time frame selection for fire detection

The importance of early fire detection can help in providing warnings and avoid disaster that led to the economic damage and loss of life. Fire detection techniques with conventional sensors have limitations, which require a long time to detect a fire, especially in a large room and cannot work in t...

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Published in2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems pp. 115 - 120
Main Authors Shidik, Guruh Fajar, Adnan, Fajrian Nur, Supriyanto, Catur, Pramunendar, Ricardus Anggi, Andono, Pulung Nurtantio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Background Subtraction
Business
Fire Detection
HSV
Image segmentation
Morphology
Process control
RGB
Time Frame Selection
YcbCr
Online AccessGet full text
DOI10.1109/ROBIONETICS.2013.6743589

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Abstract The importance of early fire detection can help in providing warnings and avoid disaster that led to the economic damage and loss of life. Fire detection techniques with conventional sensors have limitations, which require a long time to detect a fire, especially in a large room and cannot work in the open area. This study proposed a fire detection method, to detect the possibility of fire based on visual sensor using multi-color feature such as color, saturation, luminance, background subtraction and time frame selection for fire detection. The evaluation in this studies conducted by calculating the error rate of the fire detection.
AbstractList The importance of early fire detection can help in providing warnings and avoid disaster that led to the economic damage and loss of life. Fire detection techniques with conventional sensors have limitations, which require a long time to detect a fire, especially in a large room and cannot work in the open area. This study proposed a fire detection method, to detect the possibility of fire based on visual sensor using multi-color feature such as color, saturation, luminance, background subtraction and time frame selection for fire detection. The evaluation in this studies conducted by calculating the error rate of the fire detection.
Author Shidik, Guruh Fajar
Supriyanto, Catur
Andono, Pulung Nurtantio
Adnan, Fajrian Nur
Pramunendar, Ricardus Anggi
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  givenname: Fajrian Nur
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  givenname: Catur
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  organization: Fac. of Comput. Sci., Univ. Dian Nuswantoro, Semarang, Indonesia
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SubjectTerms Background Subtraction
Business
Fire Detection
HSV
Image segmentation
Morphology
Process control
RGB
Time Frame Selection
YcbCr
Title Multi color feature, background subtraction and time frame selection for fire detection
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