视频内容分析与有效响应

D. Abrams, S. McDowall
{"title":"视频内容分析与有效响应","authors":"D. Abrams, S. McDowall","doi":"10.1109/THS.2007.370020","DOIUrl":null,"url":null,"abstract":"Video content analytics effectively identifies threats in video surveillance camera feeds. These behaviors include person/vehicle entering restricted zone, counter-flow detection, loitering, object left behind, and others. In order to provide enhanced security, events need to be integrated with a command and control system capable of effectively responding to hundreds of events per day in a busy, critical infrastructure facility. We describe a novel system -NerveCenter - that links analytic events with command center data wall camera pop-ups on alarm, extended notification tools that send multi-modal alerts, acknowledgement tracking, 911 computer aided dispatch (CAD), and geo-coded mapping tools that give operators a tactical map. The usability of these tools is discussed along with how to provide situational awareness and a common operating picture to operators and first responders.","PeriodicalId":428684,"journal":{"name":"2007 IEEE Conference on Technologies for Homeland Security","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Video Content Analysis with Effective Response\",\"authors\":\"D. Abrams, S. McDowall\",\"doi\":\"10.1109/THS.2007.370020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video content analytics effectively identifies threats in video surveillance camera feeds. These behaviors include person/vehicle entering restricted zone, counter-flow detection, loitering, object left behind, and others. In order to provide enhanced security, events need to be integrated with a command and control system capable of effectively responding to hundreds of events per day in a busy, critical infrastructure facility. We describe a novel system -NerveCenter - that links analytic events with command center data wall camera pop-ups on alarm, extended notification tools that send multi-modal alerts, acknowledgement tracking, 911 computer aided dispatch (CAD), and geo-coded mapping tools that give operators a tactical map. The usability of these tools is discussed along with how to provide situational awareness and a common operating picture to operators and first responders.\",\"PeriodicalId\":428684,\"journal\":{\"name\":\"2007 IEEE Conference on Technologies for Homeland Security\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Conference on Technologies for Homeland Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/THS.2007.370020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Conference on Technologies for Homeland Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2007.370020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

视频内容分析有效地识别视频监控摄像机馈送中的威胁。这些行为包括人/车辆进入禁区、逆流检测、徘徊、遗留物品等。为了提供增强的安全性,需要将事件与能够在繁忙的关键基础设施中每天有效响应数百个事件的指挥和控制系统集成。我们描述了一种新颖的系统——nervecenter——它将分析事件与指挥中心数据墙报警时弹出的摄像头、发送多模态警报的扩展通知工具、确认跟踪、911计算机辅助调度(CAD)以及为操作员提供战术地图的地理编码制图工具联系起来。讨论了这些工具的可用性,以及如何为操作员和第一响应者提供态势感知和通用操作图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video Content Analysis with Effective Response
Video content analytics effectively identifies threats in video surveillance camera feeds. These behaviors include person/vehicle entering restricted zone, counter-flow detection, loitering, object left behind, and others. In order to provide enhanced security, events need to be integrated with a command and control system capable of effectively responding to hundreds of events per day in a busy, critical infrastructure facility. We describe a novel system -NerveCenter - that links analytic events with command center data wall camera pop-ups on alarm, extended notification tools that send multi-modal alerts, acknowledgement tracking, 911 computer aided dispatch (CAD), and geo-coded mapping tools that give operators a tactical map. The usability of these tools is discussed along with how to provide situational awareness and a common operating picture to operators and first responders.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信