Fire smoke detection algorithm based on motion characteristic and convolutional neural networks

It is a challenging task to recognize smoke from visual scenes due to large variations in the feature of color, texture, shapes, etc. The current detection algorithms are mainly based on single feature or fusion of multiple static features of smoke, which leads to low detection accuracy. To solve th...

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Veröffentlicht in:	Multimedia tools and applications 2018-06, Vol.77 (12), p.15075-15092
Hauptverfasser:	Luo, Yanmin, Zhao, Liang, Liu, Peizhong, Huang, Detian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Codes Computer Communication Networks Computer Science Data Structures and Information Theory Feature extraction Fire protection Motion perception Moving object recognition Multimedia Information Systems Neural networks Shape recognition Smoke Special Purpose and Application-Based Systems
Online-Zugang:	Volltext
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