Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11633-020-1269-5.pdf
Reference29 articles.
1. F. Saeed, A. Paul, W. H. Hong, H. Seo. Machine learning based approach for multimedia surveillance during fire emergencies. Multimedia Tools and Applications, vol. 79, no. 23, pp. 16201–16217, 2020. DOI: https://doi.org/10.1007/s11042-019-7548-x.
2. F. Saeed, A. Paul, A. Rehman, W. H. Hong, H. Seo. IoT-based intelligent modeling of smart home environment for fire prevention and safety. Journal of Sensor and Actuator Networks, vol. 7, no. 1, Article number 11, 2018. DOI: https://doi.org/10.3390/jsan7010011.
3. M. J. Park, B. C. Ko. Two-step real-time night-time fire detection in an urban environment using static ELASTIC-YOLOv3 and temporal fire-tube. Sensors, vol. 20, no. 8, Article number 2202, 2020. DOI: https://doi.org/10.3390/s20082202.
4. J. H. Li, R. X. Fan, Z. B. Chen. Forest fire recognition based on color and texture features. Journal of South China University of Technology (Natural Science Edition), vol. 48, no. 1, pp. 70–83, 2020. DOI: https://doi.org/10.12141/j.issn.1000-565X.190181. (in Chinese)
5. N. M. Dung, B. Choi, S. Ro. A study on the fire detection algorithm using surveillance camera systems. The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 6, pp. 921–929, 2018. DOI: https://doi.org/10.7840/kics.2018.43.6.921.
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. High-performance real-time fire detection and forecasting framework for industrial cables;Fire Safety Journal;2024-09
2. Visual fire detection using deep learning: A survey;Neurocomputing;2024-09
3. Fs-yolo: fire-smoke detection based on improved YOLOv7;Multimedia Systems;2024-07-24
4. YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s;Fire Technology;2024-07-22
5. Combustion Status Recognition of MSWI process Based on Flame Image by Using YOLOv5;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3