|本期目录/Table of Contents|

[1]张毛磊,陈建国,季学伟,等.基于低空飞艇的突发事件应急监测系统[J].中国安全生产科学技术,2011,7(5):26-31.
　ZHANG Mao-lei,CHEN Jian-guo,JI Xue-wei,et al.Research?on?emergency?response monitoring system?based?on low-flying airship[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(5):26-31.
点击复制

基于低空飞艇的突发事件应急监测系统()
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
7
期数:
2011年5期
页码:
26-31
栏目:
学术论著
出版日期:
2011-05-30

文章信息/Info

Title:
Research?on?emergency?response monitoring system?based?on low-flying airship
文章编号:
1673-193X(2011)-05-0026-06
作者:
张毛磊1; 陈建国1; 季学伟2; 陈涛1; 杨锐1
1.清华大学工程物理系公共安全研究院，北京 100084
2.北京市交通委员会，北京 100073
Author(s):
ZHANG Mao-lei1;  CHEN Jian-guo1;  JI Xue-wei2;  CHEN Tao1;  YANG Rui1
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing? 100084, China
2. Beijing Municipal Commission of Transport, Beijing? 100073, China
关键词:
低空飞艇; 视频稳像; 目标追踪; 应急监测系统
Keywords:
Low-flying Airship Video Stabilization Target Tracking Emergency Monitoring System
分类号:
X93
DOI:
-
文献标志码:
A
摘要:
稳定高效的高点监控对应急处置有非常重要的作用。该文提出了一种基于低空飞艇的突发事件应急监测系统,实现在复杂环境下应急现场的实时监测。系统包含三个部分:视频预处理和目标追踪;目标的自动照准和定位;远程探测监测。利用稳像和跟踪技术实现视频预处理和目标跟踪,应用基于Harris角点的帧间运动估计稳定视频,使用基于GPS航迹信息的Kalm an-平均滤波方法分离主观运动和非主观运动,使用基于M ean Sh ift方法跟踪目标。通过三维云台电机的自动控制以及艇载GPS和三维罗盘实现对目标的自动照准及定位,利用小型投掷系统实现远程探测监测。该文提出的低空飞艇应急监测系统为突发事件现场实时监测提供了新的有效的解决方案,为应急响应提供了有力支持。
Abstract:
Steady and highly efficient high spot monitoring has a significant effect during the emergency response progress when emergency happens. This paper presents a real-time emergency response monitoring system based on a low-flying airship to realize real-time supervision under complex circumstance. The system is composed by three main parts: video pre-processing and target tracking, target aiming and location, remote sensor monitoring system. Pre-processing method based on video stabilization and target tracking technology has been implanted to the system to enhance the monitoring and tracking functions. Harris corner detector method has been employed to estimate motions between two consecutive frames in order to stabilize the video; motion filtering algorithm based on Kalman-average filter has been implemented to separate the intentional and unintentional motion with the help of GPS track path; while target tracking algorithm based on Mean Shift method has been implemented to track the target. At the same time, a 3-dimension platform with airship mounted GPS system and compass system have been used to aim the target by adjusting the angles of videography platform. Little airdrop sensors have been implemented to solve the remote detecting and monitoring. The emergency monitoring system using airship as platform introduced in this paper provides a new real-time emergency monitoring solution, and will strongly support emergency response.

参考文献/References:

[1]闫利勇,陈永光.危险化学品公路运输事故新特点及对策研究[J].中国安全生产科学技术, 2010, 6(4): 65-70.Yan Li-Yong, Chen Yong-Guang. Study on new characteristics and the countermeasures of road transportation accident of hazardous chemicals [J]. Journal of Safety Science and Technology, 2010, 6(4): 65-70. (in Chinese)[2]邵荃，翁文国，袁宏永.基于动态信任网络的突发事件模型库系统的研究[J]. 中国安全生产科学技术, 2009, 5(3): 19-24.Shao Quan, Weng Wen-Guo, Yuan Hong-Yong. Research on emergency model base systen based on dynamic belief network [J]. Journal of Safety Science and Technology, 2009, 5(3): 19-24. (in Chinese)[3]James H. Lighter-than-air platforms (blimps and aerostats) for oceanographic and atmospheric research and monitoring [C]. Oceans Conference Record (IEEE), 2000: 1933-1936.[4]Gang Wu, Ryu M, Yoshihiro H. A broadband wireless access system using stratospheric platforms [C]. Global Telecommunications Conference. 2000: 225 – 230.[5]Johansen D L, Hall J K, Beard R W, et al. Stabilization of Video from Miniature Air Vehicles for Target Localization [J]. Journal of Aerospace Computing Information and Communication, 2008, 5: 251-273.[6]Zhou H, Yuan Y, Shi C. Object tracking using shift features and mean shift [J]. Computer Vision and Image Understanding, 2009, 113(3): 345-352.[7]胡冰、黄全义. 地理信息在城市公共安全应急系统中的应用[J]，地理空间信息. 2005, 3(4): 12-13.HU Bing, HUANG Quanyi. Application of Geographical Information to the Urban Public Safety Emergency System [J]. Geospatial Information, 2005, 3(4): 12-13. (in Chinese)[8]Liu B，Zaccarin A. New fast algorithms for the estimation of block motion vectors [J]. IEEE Transactions on Circuits and Systems for Video Technology, 1993, 3(2): 8-13.[9]Wang Chuntao, Kim J H, Byun K Y, et al. Robust Digital Image Stabilization Using the Kalman Filter [J]. IEEE Transactions on Consumer Electronics, 2009, 55(1): 6-14.[10]Broggi A, Grisleri P, Graf T, et al. A software video stabilization system for automotive oriented applications [C]. Vehicular Technology Conference, Stockholm: IEEE Vehicular Technology Society, 2005, 5: 2760–2764.[11]Wang Junqiu, Yagi Y. Integrating color and shape-texture features for adaptive real-time object tracking [J], IEEE Transactions on Image Processing, 2008, 17(2): 235-240.[12]梁光华. 应急现场定向空投信息采集系统研究 [D]. 北京：清华大学. 2008.Liang Guanghua. Study on the Directional Airdrop Data Collection and Communication System [D]. Beijing: Tsinghua University. 2008. (in Chinese)

相似文献/References:

备注/Memo

备注/Memo:
收稿日期：2011-02-07
作者简介：张毛磊，博士研究生。
基金项目：国家自然科学基金（编号：91024024/G0310）项目资助
更新日期/Last Update: