Real-time video-based smoke detection with high accuracy and efficiency-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Real-time video-based smoke detection with high accuracy and efficiency

Published:2020-10 Issue: Volume:117 Page:103184
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Li Chenghua,Yang Bin,Ding Hao,Shi Hongling,Jiang Xiaoping,Sun Jing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province China

Fundamental Research Funds for South-Central University for Nationalities

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Safety, Risk, Reliability and Quality,General Materials Science,General Chemistry

Reference39 articles.

1. A fast accumulative motion orientation model based on integral image for video smoke detection;Yuan;Pattern Recogn. Lett.,2008

2. Detection and separation of smoke from single image frames;Tian;IEEE Trans. Image Process.,2017

3. High-order local ternary patterns with locality preserving projection for smoke detection and image classification;Yuan;Inf. Sci.,2016

4. Video smoke detection using shape, color and dynamic features;Wang;J. Intell. Fuzzy Syst.,2017

5. Non-linear dimensionality reduction and Gaussian process based classification method for smoke detection;Yuan;IEEE Access,2017

Cited by 21 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. Visual fire detection using deep learning: A survey;Neurocomputing;2024-09

2. Smoke detection in foggy surveillance environment using parallel vision transformer network;Neural Computing and Applications;2024-08-06

3. Deep Learning-based Wildfire Smoke Detection using Uncrewed Aircraft System Imagery;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

4. Embedded Spatial–Temporal Convolutional Neural Network Based on Scattered Light Signals for Fire and Interferential Aerosol Classification;Sensors;2024-01-25

5. Multi-Scene Smoke Detection Based on Multi-Feature Extraction Method;Journal of Shanghai Jiaotong University (Science);2024-01-02

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