Cyber System:Collaborative Research: An Intelligent Network of Wireless Videos for Dynamic Scene Analysis

该建议的重点是开发一个智能网络的视频摄像机连接在一个无线通信信道的应用程序在动态场景的理解。各种应用中采用的现有视频传感器网络系统通常由一组摄像机组成，这些摄像机通过有线通信通道将数据传输到中央处理单元，几乎不对传感器本地的视频进行智能处理。有线通信缺乏移动性和安装困难是从大型视频数据网络中获得最大可能利益的严重障碍。这一目标的实现取决于成功解决许多理论和实践挑战，包括相机网络及其操作的自组织，场景分析的学习行为模式，可用资源的最佳利用，处理动态拓扑和不同程度的移动性，分布式控制和决策，以及开发计算效率高的算法等。拟议的研究解决这些挑战，通过开发一个分层架构的无线网络的视频摄像机与本地智能处理在每个camera node.Broader影响：无线视频传感器网络集成图像处理，计算机视觉和网络任务将有助于开发一个新的，令人兴奋的和具有挑战性的科学研究领域的视频和网络技术的交叉点。它将极大地有利于大量现有的应用，并创造新的应用，从国家优先领域，如国土安全，监测核设施和边境安全，到商业利益，如视频通信和多媒体娱乐。这些PI将利用这一机会开发跨学科的无线视频网络课程，可以通过基于视频的远程学习技术在两个机构教授。

This proposal focuses on developing an intelligent network of video cameras connected over a wireless communication channel for applications in dynamic scene understanding. Existing video sensor network systems employed in various applications usually comprise of a set of video cameras that transmit data over a wired communication channel to a central processing unit with almost no intelligent processing of the video locally at the senor. The lack of mobility and difficulty of installation of wired communication is a serious impediment to deriving the maximum possible benefit from large networks of video data.Intellectual Merit: Realization of this goal depends on successfully addressing a number of theoretical and practical challenges, including self-organization of camera networks and their operation, learning behavior patterns for scene analysis, optimal utilization of available resources, handling dynamic topology and varying degrees of mobility, distributed control and decision making, and developing computationally efficient algorithms, among others. The proposed research addresses these challenges by developing a hierarchical architecture of a wireless network of video cameras with local intelligent processing at each camera node.Broader Impact: Wireless video sensor networks which integrate image processing, computer vision and networking tasks will help develop a new, exciting and challenging scientific research area at the intersection of video and network technologies. It will immensely benefit a large number of existing applications and create new applications ranging from national priority areas like homeland security, monitoring nuclear installations and border security, to commercial interests like video communications and multimedia entertainment. These PIs will use this opportunity to develop inter-disciplinary courses on wireless video networks that can be taught at both institutions through video-based distance learning technologies.