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

EIA 02-02067 Bestavros，阿塞拜疆Betke，Margritt；Crovella，Mark E.；Matta，Ibrahim；Sclaroff，StanBoston University RI：感应室：视频传感器网络中时空对象管理的研究基础设施这个项目，开发了一个开放的传感器网络研究基础设施(感应室)，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展，以处理传感器网络独特的时空限制。感应室由横跨多个房间的摄像机传感器网络、网络处理单元和TB级数据库组成，在一起进行管理以满足移动用户在此环境中生成的查询。该基础设施使得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.为多分辨率/尺度流传感数据网络开发有效的位置管理、路由、传输和内容分发协议；c.表征移动传感网络中的流量和访问模式；d.配备嵌入式实时操作系统以实现协调的资源管理和开发用于管理主动传感器网络的中间件服务；E.索引和挖掘大型时空非文本感知数据集，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来增强嵌入式系统的代码安全性，重点是面向流的编程；g.开发算法和协议，以支持安全和信任，以及保护视频传感器网络和储存库中数据的机密性和完整性。第一个目标是以一种整合的、定义明确的、隐私保护的方式将现实世界和网络世界融合在一起。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，并在Web上回答有关物理世界的查询。第二个目标是为严重残疾人士开发辅助环境，帮助他们接触计算机，从而获得与其环境交流的工具。这些应用将统一感官所利用的各种研究项目，作为开发通用技术的催化剂，这些通用技术可以在其他垂直应用中使用(和重复使用)。

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.