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

建议开发一种新的框架，用于从数百个摄像机的网络中分布式处理图像，对于这些摄像机，事先不知道校准，并且摄像机可以自由出现，消失和移动。 传统的计算机视觉方法不适合这种网络，因为它们假设可以集中地同时处理的固定数量的固定摄像机。 我们将研究大型动态摄像机网络中标定（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，这项研究对摄像机网络的设计和有效性具有更广泛的影响，这些摄像机网络将在世纪的城市街道，机场和战场上无处不在。 这种网络对于自动监测和从危及人类生命安全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，这些将成为动态摄像机网络新领域的基础。

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.