Deep Learning Based Fire Detection System for Surveillance Videos

被引：1

作者：

Wang, Hao ^{[1
]}

Pan, Zhiying ^{[1
]}

Zhang, Zhifei ^{[1
]}

Song, Hongzhang ^{[2
]}

Zhang, Shaobo ^{[3
]}

Zhang, Jianhua ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China

[2] High Dimens Vis Technol Co Ltd, Hangzhou, Zhejiang, Peoples R China

[3] Vis Entropy Technol Co Ltd, Hangzhou, Zhejiang, Peoples R China

来源：

INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT II | 2019年 / 11741卷

基金：

中国国家自然科学基金;

关键词：

Deep learning; Fire detection; Smoke detection; Surveillance videos;

D O I：

10.1007/978-3-030-27532-7_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

At present, the method of detecting fire by convolutional neural network only uses flame or smoke as an indicator of fire occurrence, and such a method is somewhat limited. This article also detects flames and smoke so that it can be alarmed only when smoke or flame is detected. When the smoke and flame are detected at the same time, the credibility of the alarm can be improved. Our experiments show that the proposed network achieves excellent accuracy and speed.

引用

页码：318 / 328

页数：11

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