Knowledge Commons of Institute of Automation,CAS
Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 | |
Yue-Yan Qin1; Jiang-Tao Cao1; Xiao-Fei Ji2 | |
发表期刊 | International Journal of Automation and Computing
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ISSN | 1476-8186 |
2021 | |
卷号 | 18期号:2页码:300-310 |
摘要 | Recently, video-based fire detection technology has become an important research topic in the field of machine vision. This paper proposes a method of combining the classification model and target detection model in deep learning for fire detection. Firstly, the depthwise separable convolution is used to classify fire images, which saves a lot of detection time under the premise of ensuring detection accuracy. Secondly, You Only Look Once version 3 (YOLOv3) target regression function is used to output the fire position information for the images whose classification result is fire, which avoids the problem that the accuracy of detection cannot be guaranteed by using YOLOv3 for target classification and position regression. At the same time, the detection time of target regression for images without fire is greatly reduced saved. The experiments were tested using a network public database. The detection accuracy reached 98% and the detection rate reached 38 fps. This method not only saves the workload of manually extracting flame characteristics, reduces the calculation cost, and reduces the amount of parameters, but also improves the detection accuracy and detection rate. |
关键词 | Fire detection depthwise separable convolution fire classification You Only Look Once version 3 (YOLOv3) target regression |
DOI | 10.1007/s11633-020-1269-5 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44024 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China 2.School of Automation, Shenyang Aerospace University, Shenyang 110136, China |
推荐引用方式 GB/T 7714 | Yue-Yan Qin,Jiang-Tao Cao,Xiao-Fei Ji. Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3[J]. International Journal of Automation and Computing,2021,18(2):300-310. |
APA | Yue-Yan Qin,Jiang-Tao Cao,&Xiao-Fei Ji.(2021).Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3.International Journal of Automation and Computing,18(2),300-310. |
MLA | Yue-Yan Qin,et al."Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3".International Journal of Automation and Computing 18.2(2021):300-310. |
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IJAC-2020-06-139.pdf(2289KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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