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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

    Item Type: Article
    Subjects: T Technology > Teknik Informatika > INF Informatika
    Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
    Semantik 2013 > INF Informatika
    Divisions: Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika
    Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
    Semantik 2013 > INF Informatika
    Depositing User: Psi Udinus
    Date Deposited: 17 Dec 2014 11:06
    Last Modified: 27 Jun 2016 15:26
    URI: http://eprints.dinus.ac.id/id/eprint/14131

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