Fire safety signs detection and classification by applying neural network
Автор: Kiryushina Anna Evgenievna
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Рубрика: Методы оптимизации и теория управления
Статья в выпуске: 4 (31) т.7, 2016 года.
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The paper describes a method for detection of fire safety signs, taken from a photo and a video which are received from cameras standing on board of an unmanned aerial vehicle or mobile device. An algorithm of fire safety signs allocation by applying a scanning window is highlighted. Also the paper gives the results of convolutional neural network studying and of characters classifying. (In Russian)
ID: 14336098 Короткий адрес: https://sciup.org/14336098
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