CISE Research Infrastructure: SENSORIUM: Research Infrastructure for Managing Spatio-Temporal Objects in Video Sensor Networks

CISE 研究基础设施：SENSORIUM：用于管理视频传感器网络中时空对象的研究基础设施

• 批准号: 0202067
• 负责人: Azer Bestavros
• 金额: $ 124.74万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0202067&HistoricalAwards=false
• 关键词: CISE; Research; Infrastructure; SENSORIUM; Managing

EIA 02-02067Bestavros, AzerBetke, Margrit; Crovella, Mark E.; Matta, Ibrahim; Sclaroff, StanBoston University RI: SENSORIUM: Research Infrastructure for Managing Spatio-Temporal Objects in Video Sensor NetworksThis project, developing an open sensor network research infrastructure (SENSORIUM), aims to catalyze fundamental advances in image and video computing, network protocols, and resource management to deal with unique spatio-temporal constraints of sensor networks. SENSORIUM is composed of a sensor network of video cameras spanning several rooms, networked processing units, and a terabyte database, managed together to satisfy queries using those generated by mobile users within this environment. The infrastructure enables the following research projects:a. Modeling, interpretation, and prediction of human motion in video streams at multiple scales in space/time and at multiple layers of detail; b. Development of efficient location management, routing, transport, and content distribution protocols for multi-resolution/scale streaming sensory data networks; c. Characterization of traffic and access patterns in mobile sensory networks; d. Instrumentation of embedded real-time operating systems to enable coordinated resource management and the development of middleware services for the management of active sensor networks; e. Indexing and mining of large spatio-temporal non-textual sensory datasets, with a particular emphasis on mining of human motions and activities; f. Enhancing code safety for embedded systems through the use of type systems and run-time support, with emphasis on flow-oriented programming; g. Development of algorithms and protocols for supporting security and trust, and for protecting the confidentiality and integrity of data in video sensor networks and repositories.These collaborative projects target two vertical applications. The first aims to merge the physical and cyber worlds in an integrated, well defined, privacy-protecting manner. It involves the development of a system capable of gathering, interpreting, routing, and storing data from distributed video sensors, and answering queries about the physical world on the Web. The second aims to develop assistive environments for people with severe disabilities, to help them gain access to computers, and thereby obtain a tool to communicate with their environments. These applications will unify the various research projects leveraged by the SENSORIUM by acting as catalysts for the development of generic technologies that could be used (and reused) in other vertical applications.

EIA 02- 02067 Bestavros，Margrit Betke; Crovella，Mark E.; Matta，Ibrahim; Scaroff，StanBoston University RI：传感器：研究基础设施管理时空对象在视频传感器网络这个项目，开发一个开放的传感器网络研究基础设施（SENSORIUM），旨在促进图像和视频计算，网络协议和资源管理的根本进步，以处理传感器网络的独特时空约束。SENSORIUM是由一个传感器网络的视频摄像机跨越几个房间，联网的处理单元，和一个TB的数据库，一起管理，以满足查询使用这些产生的移动的用户在这个环境中。该基础设施使以下研究项目成为可能：a. 在多个空间/时间尺度和多个细节层上对视频流中的人体运动进行建模、解释和预测; B. 开发用于多分辨率/规模流式传感数据网络的有效位置管理、路由、传输和内容分发协议; c.表征移动的传感网络中的业务和访问模式; d.嵌入式实时操作系统的仪表化，以实现协调的资源管理和开发用于主动传感器网络管理的中间件服务; e.大型时空非文本感官数据集的索引和挖掘，特别强调人类运动和活动的挖掘; f.通过使用类型系统和运行时支持来增强嵌入式系统的代码安全性，重点是面向流的编程;开发算法和协议，以支持安全和信任，并保护视频传感器网络和存储库中数据的机密性和完整性。这些合作项目针对两个垂直应用。第一个目标是以一种综合的、定义明确的、保护隐私的方式将物理世界和网络世界融合在一起。它涉及一个系统的开发，能够收集，解释，路由和存储来自分布式视频传感器的数据，并回答有关Web上的物理世界的查询。第二个目标是为严重残疾人开发辅助环境，帮助他们使用计算机，从而获得与环境沟通的工具。 这些应用程序将统一SENSORIUM利用的各种研究项目，作为开发可用于（和重复使用）其他垂直应用的通用技术的催化剂。