ITR: Robust Ad-Hoc Active Vision Networks and Applications

摘要提案ID: 0312558机构：宾夕法尼亚州立大学首席研究员：Octavia camps该项目主要研究分布式主动视觉问题-计算机视觉，ad-hoc网络和控制的融合。目标是开发一个范例，用于系统地设计可证明的健壮的分布式主动视觉系统，并表征结果系统的性能。该领域的进展为各种应用领域提供了显著的好处，例如智能活动监控系统和智能环境，了解用户活动。虽然几个实验室已经开发了原型系统，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。本项目将以其中的一些工作为基础，实现建立在健全的系统理论概念、通用的数学语言和可用的工具集上的健壮系统。

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.