Optimal Transport for Visual Control and Tracking

视觉控制和跟踪的最佳传输

• 批准号: 0137412
• 负责人: Allen Tannenbaum
• 金额: $ 15万
• 依托单位: Georgia Tech Research Corporation
• 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: 2002-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0137412&HistoricalAwards=false
• 关键词: Optimal; Transport; Visual; Control; Tracking

Tannenbaum, AllenECS-0137412The research program outlined in this proposal is driven by the need to develop novel means of acquiring, storing, manipulating and synthesizing signals and images for use in a feedback loop. This is the essential mandate of controlled active vision in which one uses a combination of techniques from systems and control, signal and image processing, as well as a computer vision for this purpose. The design of novel techniques for using visual information in control systems appears in a number of practical systems problems ranging from remote controlled weapons and vehicles to telesurgery, manufacturing systems, and ATR. Moreover, these efforts are leading to enhanced man-machine interfaces for interactions with computers. In this research, the PI will consider certain novel methods based on the notion of "optimal mass transport" for such problems in controlled active vision. This type of technique has appeared in econometrics, fluid dynamics, transportation, statistical physics, shape optimization, expert systems, meteorology, and nonlinear control analysis and synthesis.

Tannenbaum，AllenECS-0137412本提案中概述的研究计划是由开发用于反馈回路的获取，存储，操作和合成信号和图像的新方法的需求驱动的。 这是受控主动视觉的基本任务，其中使用系统和控制，信号和图像处理以及计算机视觉的技术组合。 在控制系统中使用视觉信息的新技术的设计出现在许多实际的系统问题中，从遥控武器和车辆到外科手术，制造系统和ATR。 此外，这些努力正在导致与计算机交互的增强的人机界面。 在这项研究中，PI将考虑某些新的方法的基础上的概念“最佳质量运输”的控制主动视觉等问题。 这种类型的技术已经出现在计量经济学，流体动力学，运输，统计物理学，形状优化，专家系统，气象学和非线性控制分析和合成。