Multi Color Feature, Background Subtraction and Time Frame Selection for Fire Detection

SHIDIK, GURUH FAJAR and Adnan, Fajrian Nur and Supriyanto, Catur and Pramunendar, Ricardus Anggi and ANDONO, PULUNG NURTANTIO (2014) Multi Color Feature, Background Subtraction and Time Frame Selection for Fire Detection. Document Repository.

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Abstract

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. Keywords- Fire Detection, Background Subtraction, RGB, HSV, YcbCr, Time Frame Selection

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