A convolutional neural network-based flame detection method in video sequence-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A convolutional neural network-based flame detection method in video sequence

Published:2018-06-23 Issue:8 Volume:12 Page:1619-1627
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhong Zhen,Wang Minjuan,Shi Yukun,Gao Wanlin

Funder

Postdoctoral Research Foundation of China

Project of Scientific Operating Expenses from Ministry of Education of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/article/10.1007/s11760-018-1319-4/fulltext.html

Reference39 articles.

1. Kong, S.G., Jin, D., Li, S., Kim, H.: Fast fire flame detection in surveillance video using logistic regression and temporal smoothing. Fire Saf. J. 79, 37–43 (2016)

2. Töreyin, B.U., Dedeoğlu, Y., Güdükbay, U., Cetin, A.E.: Computer vision based method for real-time fire and flame detection. Pattern Recogn. Lett. 27(1), 49–58 (2006)

3. Muhammad, K., Ahmad, J., Baik, S.W.: Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing 288(2), 30–42 (2017)

4. Jiu, Y.Z.B.: Fire loss in the china during 2017 (2018). http://www.chinajyzb.com.cn/ . Accessed Jan 2018

5. Çetin, A.E., Dimitropoulos, K., Gouverneur, B., Grammalidis, N., Günay, O., Habiboǧlu, Y.H., et al.: Video fire detection—review. Digit. Signal Proc. 23(6), 1827–1843 (2013)

Cited by 51 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. Fire and smoke detection from videos: A literature review under a novel taxonomy;Expert Systems with Applications;2024-12

2. High-performance real-time fire detection and forecasting framework for industrial cables;Fire Safety Journal;2024-09

3. Fs-yolo: fire-smoke detection based on improved YOLOv7;Multimedia Systems;2024-07-24

4. Fire Detection Based on Image Learning by Collaborating CNN-SVM with Enhanced Recall;JOURNAL OF SENSOR SCIENCE AND TECHNOLOGY;2024-05-31

5. AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges;IEEE Access;2024

同舟云学术

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