ITR: Robust Ad-Hoc Active Vision Networks and Applications

ITR：强大的 Ad-Hoc 主动视觉网络和应用程序

• 批准号: 0312558
• 负责人: Octavia Camps
• 金额: $ 36万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312558&HistoricalAwards=false
• 关键词: ITR; Robust; Ad; Hoc; Active

AbstractProposal ID: 0312558Institution: Pennsylvania State UniversityPrincipal Investigator: Octavia CampsThis project focuses on problems of distributed active vision - a confluence of computer vision, ad-hoc networking and control. The objectives are to develop a paradigm for systematically designing provably robust distributed active vision systems and to characterized the performance of the resulting systems. Progress in this area offers significant benefits to a variety of application areas, such as intelligent activity monitoring systems and smart environments, aware of user activities. While prototype systems have been developed in several laboratories, these suffer from shortcomings that limit their application and testing outside of research environments. This project will build on some of that work to achieve robust systems built on sound system theoretic concepts, a common mathematical language and usable set of tools.

AbstractProposal ID： 0312558机构： 宾夕法尼亚州立大学首席研究员： Octavia Camps这个项目的重点是分布式主动视觉的问题-计算机视觉，ad-hoc网络和控制的融合。 我们的目标是开发一个范例，系统地设计可证明的强大的分布式主动视觉系统，并表征所产生的系统的性能。 这一领域的进展为各种应用领域提供了显着的好处，例如智能活动监控系统和智能环境，了解用户活动。 虽然原型系统已经在几个实验室中开发，但这些系统存在缺陷，限制了它们在研究环境之外的应用和测试。 该项目将建立在一些工作的基础上，以实现建立在健全的系统理论概念，通用数学语言和可用工具集上的强大系统。