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The experimental results denote that the novel algorithms based on visual attention mechanism and been mixed linear function nuclear and radial basis function nuclear improve the accuracy and speed of recognition, significantly reduces the false negative rate of fire recognition and improves the accuracy of fire detection.
Its researches have been applied in fire recognition system [22].
Segment algorithms of a flame object is a key problem in fire recognition based on video sequences applications and have a direct impaction improving fire recognition accuracy [23].
Either economically or technically video, fire recognition technology has a distinct advantage.
Thus, the video fire recognition includes two aspects, the flame object extraction and according to the flame color and size and other characteristics to judge.
Experimental results show that the method greatly improves the reliability of the fire judging and accuracy and reduces the false alarm and the omission of the fire recognition, shortening the recognition time of fire.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com