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

EIA 02-02067Bestavros, AzerBetke, Margrit；Mark E. Crovella；马特,易卜拉欣;Sclaroff， StanBoston University RI: SENSORIUM：管理视频传感器网络中时空对象的研究基础设施该项目开发了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方面的基本进步，以处理传感器网络的独特时空约束。SENSORIUM由跨越多个房间的摄像机传感器网络、网络处理单元和tb数据库组成，这些传感器网络一起管理，以满足在该环境中使用移动用户生成的查询。基础设施支持以下研究项目：a。建模，解释和预测人类运动的视频流在多个尺度的空间/时间和多层次的细节；b.为多分辨率/规模流传感数据网络开发高效的位置管理、路由、传输和内容分发协议；c.移动传感网络中流量和接入模式的特征；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中间件服务的开发，用于管理主动传感器网络；e.索引和挖掘大型时空非文本感官数据集，特别强调挖掘人类运动和活动；f.通过使用类型系统和运行时支持，加强嵌入式系统的代码安全性，重点是面向流程的编程；g.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。这些协作项目的目标是两个垂直应用程序。第一个目标是以一种完整的、定义明确的、保护隐私的方式融合物理世界和网络世界。它涉及到一个系统的开发，该系统能够收集、解释、路由和存储来自分布式视频传感器的数据，并回答关于Web上物理世界的查询。第二个目标是为严重残疾的人开发辅助环境，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由SENSORIUM利用的各种研究项目，作为可以在其他垂直应用中使用（和重用）的通用技术开发的催化剂。

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.