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[1]曾宝国,尹文刚.基于SIFT与SVM的应急救援图像检测方法研究*[J].中国安全生产科学技术,2020,16(8):186-192.[doi:10.11731/j.issn.1673-193x.2020.08.030]
　ZENG Baoguo,YIN Wengang.Study on image detection method of emergency rescue based on SIFT and SVM[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(8):186-192.[doi:10.11731/j.issn.1673-193x.2020.08.030]
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基于SIFT与SVM的应急救援图像检测方法研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年8期
页码:
186-192
栏目:
职业安全卫生管理与技术
出版日期:
2020-08-31

文章信息/Info

Title:
Study on image detection method of emergency rescue based on SIFT and SVM
文章编号:
1673-193X(2020)-08-0186-07
作者:
曾宝国; 尹文刚
（1.成都工业职业技术学院，四川 成都 610218；
2.武警警官学院，四川 成都 610213）
Author(s):
ZENG Baoguo;  YIN Wengang
(1.Chengdu Vocational and Technical College of Industry,Chengdu Sichuan 610218,China;
2.College of Armed Police Officer,Chengdu Sichuan 610213,China)
关键词:
应急救援; SIFT算法; Kmeans; SVM分类
Keywords:
emergency rescue;  scale invariant feature transform (SIFT) algorithm;  Kmeans;  support vector machine (SVM) classification
分类号:
X924;TP23
DOI:
10.11731/j.issn.1673-193x.2020.08.030
文献标志码:
A
摘要:
针对公共安全突发事件应急救援的封闭空间场景（Confined Space Scene，CSS）信息采集不通畅、不全面而影响救援等问题，提出1种基于不变特征转换（Scale invariant feature transform，SIFT）和支持向量机（Support Vector Machine，SVM）的图像信息异常检测方法。在场景内外信息传递“断环”情况下，该方法可利用物联网技术采集的图片，或以网络图片信息、历史类似场景数据等作为补充，通过SIFT特征提取、Kmeans聚类处理以及SVM分类，实现场景的智能识别。经仿真分析，该方法能实现封闭空间内外部图像信息互通，“接补”因无法了解事件内部情况而产生的救援环节链条的“断环”，为救援提供决策参考。
Abstract:
Aiming at the problem that the information collection is unsmooth and incomplete in the Closed Space Scene (CSS) of emergency rescue for the public security emergencies,which affect the rescue,a detection method of image information anomaly based on the scale invariant feature transform (SIFT) and support vector machine (SVM) was put forward.In the case of "ring breaking" of information transmission inside and outside the scene,the method could use the pictures collected by the Internet of things technology,or take the network picture information and historical similar scene data as the supplement,and realize the intelligent recognition of the scene by the SIFT feature extraction，Kmeans clustering processing and SVM classification.The simulation results showed that the method could realize the image information exchange between the inside and outside of the closed space,and supplement the "ring breaking" in the rescue link chain caused by the failure to understand the internal situation of the event,so as to provide decision reference for the rescue.

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备注/Memo

备注/Memo:
收稿日期： 2020-04-05
* 基金项目： 四川省教育厅科研项目（18ZB0047）
作者简介： 曾宝国，硕士，副教授，主要研究方向为物联网应用技术、人工智能。
更新日期/Last Update: 2020-09-10