Method for fire detection under decreased illumination based on visual data
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URI (для ссылок/цитирований):
http://ceur-ws.org/Vol-2033/https://elib.sfu-kras.ru/handle/2311/111623
Дата:
2017-12Журнал:
CEUR Workshop ProceedingsКвартиль журнала в Scopus:
без квартиляБиблиографическое описание:
Фаворская, М. Н. Method for fire detection under decreased illumination based on visual data [Текст] / М. Н. Фаворская, А. В. Пятаева, А. С. Пятаев // CEUR Workshop Proceedings. — 2017. — Vol. 2033. — С. 300-304Аннотация:
In current report, method for fire detection under the ordinary and decreased illumination based on visual data in outdoor spaces is proposed. This method uses the features of fire and smoke, such as the moving parameters, chromatic components, and textural features. The algorithm Retinex is yielded for the illumination equalization. The recognition and verification stages as the main factor of the wildfire beginning are discussed.