CSR-DMSS,SM: Cooperative Activity Analysis in Wireless Smart-Camera Networks (Wi-SCaNs)

CSR-DMSS,SM：无线智能相机网络 (Wi-SCaN) 中的协作活动分析

• 批准号: 0834753
• 负责人: Senem Velipasalar
• 金额: $ 30万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0834753&HistoricalAwards=false
• 关键词: CSR; DMSS; SM; Cooperative; Activity

ABSTRACTWith the advances in the hardware technology and ever-decreasing cost of imaging circuitry, cameras have becomeubiquitous in our lives. The large amounts of video data generated by multiple cameras necessitate automaticanalysis of activities from video. With the introduction of smart cameras, it has now become viable to installmany spatially-distributed cameras interconnected by wireless links. A smart camera is a stand-alone unit thatnot only captures images, but also includes a processor, memory and communication interface. This projecttakes a holistic view of the problems that need to be solved to build scalable, battery-powered wireless smart-camera networks (Wi-SCaNs). It focuses on providing a unifying solution to perform tasks distributively, andcommunicate in a P2P fashion over wireless links while making e±cient use of limited resources, such as energyand bandwidth. This research explicitly considers the challenges of wireless channels, and addresses the issuesof scarce resources, P2P protocol design and channel usage priorities simultaneously. The expected outcomes ofthis project include light-weight vision algorithms that are portable to embedded smart cameras, characterizationof the energy-bandwidth-delay tradeo®s in Wi-SCaNs, e±cient resource allocation strategies, and P2P wirelesscommunication protocols that leverage the knowledge of the wireless channel conditions. The outcomes will havean important positive impact, because they will fundamentally advance the automatic activity analysis solutionsby providing installation of any number of cameras anywhere, and will ¯nd wide-ranging applications includingsurveillance in military, commercial or public scenarios, elderly care and wildlife monitoring.1

摘要随着硬件技术的进步和成像电路成本的不断降低，相机已经在我们的生活中无处不在。由多个摄像机产生的大量视频数据需要从视频中自动分析活动。随着智能摄像机的引入，现在安装许多通过无线链路互连的空间分布式摄像机已经变得可行。智能相机是一个独立的单元，它不仅可以捕获图像，还包括处理器，存储器和通信接口。该项目全面了解构建可扩展的电池供电无线智能相机网络（Wi-SCaN）所需解决的问题。它专注于提供一个统一的解决方案，以分布式方式执行任务，并通过无线链路以P2P方式进行通信，同时有效利用有限的资源，如能源和带宽。该研究明确考虑了无线信道的挑战，并同时解决了资源稀缺、P2P协议设计和信道使用优先级等问题。该项目的预期成果包括可移植到嵌入式智能相机的轻量级视觉算法，Wi-SCaN中能量带宽延迟权衡的特征，有效的资源分配策略，以及利用无线信道条件知识的P2P无线通信协议。这些成果将产生重要的积极影响，因为它们将通过在任何地方安装任何数量的摄像头，从根本上推进自动活动分析解决方案，并将获得广泛的应用，包括军事，商业或公共场景的监控，老年人护理和野生动物监测。