NOSS: Airborne Video Sensor Networks for Surveillance and Emergency Response

NOSS：用于监视和应急响应的机载视频传感器网络

• 批准号: 0721701
• 负责人: Himanshu Gupta
• 金额: $ 50万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721701&HistoricalAwards=false
• 关键词: NOSS; Airborne; Video; Sensor; Networks

This project develops a technological infrastructure for deploying and using ad hoc airborne video sensor (AVS) networks. In particular, autonomous blimps are used as the airborne platform, and are equipped with a compact processing unit, sophisticated camera assembly, and certain sensing devices. The AVS network can be envisioned being used for detection of unusual activities in emergency and disaster control situations, monitoring of unplanned events, etc.One of the main research components involves development of efficient algorithms for various versions of the video coverage problems in the context of the AVS network. The second main research component of the research involves declarative representation and automated evaluation of high-level video activities. In addition to above, the project also entails research issues that arise in the areas of robotics and computer vision. An important component of the work is development of two testbeds - one with a large number of autonomous indoor blimps with a modest camera set-up, and the other with a smaller number of larger autonomous outdoor blimps with a sophisticated camera set-up.The broader impact of this project is new applications that the AVS network facilitates, especially those requiring response to unplanned emergencies and threats. The project also contributes to education and involvement of minority students in advances to science and engineering. The results of the project are disseminated over the web at http://www.cs.sunysb.edu/~hgupta/airborne.

该项目开发了一种技术基础设施，用于部署和使用ad hoc机载视频传感器（AVS）网络。 特别是，自主飞艇被用作空中平台，并配备了紧凑的处理单元，复杂的相机组件和某些传感设备。 AVS网络可以被设想用于在紧急和灾难控制情况下检测异常活动、监视计划外事件等。主要研究组件之一涉及在AVS网络的上下文中针对各种版本的视频覆盖问题开发高效算法。研究的第二个主要组成部分涉及高级视频活动的声明性表示和自动评估。 除此之外，该项目还涉及机器人和计算机视觉领域的研究问题。这项工作的一个重要组成部分是开发两个测试平台-一个是大量的自主室内飞艇，配备适度的摄像头设置，另一个是少量的大型自主室外飞艇，配备先进的摄像头设置。该项目的更广泛影响是AVS网络促进的新应用，特别是那些需要对计划外紧急情况和威胁做出响应的应用。该项目还有助于少数民族学生的教育和参与科学和工程的进步。该项目的结果在http://www.cs.sunysb.edu/~hgupta/airborne网站上传播。