CAREER: Distributed Active Processing on Hundred-Camera Networks (DAPHNE)

职业：数百个摄像机网络上的分布式主动处理 (DAPHNE)

• 批准号: 0237516
• 负责人: Richard Radke
• 金额: $ 41.16万
• 依托单位: Rensselaer Polytechnic Institute
• 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: 2003-03-15 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0237516&HistoricalAwards=false
• 关键词: CAREER; Distributed; Active; Processing; Hundred

It is proposed to develop a new framework for the distributed processing of images from networks of literally hundreds of cameras, for which no calibration is known in advance and in which cameras may freely appear, disappear, and move about. Conventional computer vision methods are not adequate for such networks, because they assume a small, fixed number of stationary cameras that can be centrally, simultaneously processed. We will study distributed solutions for both calibration (computing absolute and relative camera positions) and computer vision problems (such as view synthesis) in large dynamic camera networks.This research has broader impacts in the design and effectiveness of the camera networks that will be ubiquitous in the city streets, airports, and battlefields of the 21st century. Such networks will be crucial for automatically monitoring and extracting information from environments where the safety and security of human lives are at stake. Our goal is to develop the models, algorithms, and applications that will form the foundations of the new field of dynamic camera networks.

本文建议开发一种新的框架，用于对来自数百台摄像机网络的图像进行分布式处理，这些摄像机事先没有已知的校准，并且摄像机可以自由地出现、消失和移动。传统的计算机视觉方法不适用于这样的网络，因为它们假设有少量固定数量的固定摄像机，可以集中同时处理。我们将研究大型动态摄像机网络中校准（计算绝对和相对摄像机位置）和计算机视觉问题（如视图合成）的分布式解决方案。这项研究将对21世纪城市街道、机场和战场上无处不在的摄像机网络的设计和有效性产生更广泛的影响。这种网络对于自动监控和从人类生命安全受到威胁的环境中提取信息至关重要。我们的目标是开发模型、算法和应用程序，这些将构成动态摄像机网络新领域的基础。