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U.S.-Egypt Joint Cooperative Research: A Framework for Automated Scene Surveillance: Algorithms, Architecture, and Prototyping

U.S.-Egypt Joint Cooperative Research: A Framework for Automated Scene Surveillance: Algorithms, Architecture, and Prototyping
美国-埃及联合合作研究:自动场景监控框架:算法、架构和原型设计
批准号:
0512403
负责人:
Magdy Bayoumi
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2008-02-29

项目摘要

项目成果

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中文摘要
翻译
0512403Bayoumi描述:该项目支持路易斯安那大学高级计算机研究中心(CACS)主任Magdy Bayoumi博士和开罗电子研究所(ERI)所长Ayman El-Dessouki博士的合作研究。他们计划开发一个使用算法、体系结构和原型的自动化场景监控框架。从技术解决方案的角度来看,视频监控已被广泛应用于此目的。然而,这一领域的进展主要集中在视频传感器上。人类操作员仍然需要分析图像。换句话说,尽管传感器和计算能力各自取得了技术进步,但能够理解场景和自动监视的全自动系统仍然存在真空。该项目提议通过由传感器和闭路电视摄像机组成的网络来自动跟踪观察区内的物体。它识别威胁并发出警报。智力优势:拟议的活动将加深对视频监控、监控和自动场景理解的理解。以下是提出的自动场景理解体系结构的目标/特征:抵抗攻击;自主目标检测;独立于光照变化的视频检测;由代理跟踪目标;以及无需等待稳定的摄像机来检测目标。它将吸引和准备研究生研究开发新的算法、方法和用于场景理解和自动监视的硬件/软件原型。更广泛的影响:拟议的活动将丰富CAC提供的课程材料。它还旨在通过初级研究人员的访问向埃及方面传授培训-从而旨在提高对科学教育的认识。该项目将促进美国和埃及在自动视频监控领域的科技合作,这对双方都是有利的。私营部门将有机会发展他们的能力,为不同的任务建立和实施新的算法,并可以在已经建立的测试环境中测试他们开发的系统。初创公司将获得集成不同系统组件的机会,并为需要这一自动化监控系统的客户提供服务。国际学生联合会将与现有的大学项目合作,如麦克奈尔学者项目和路易斯安那州少数民族参与联盟(LS-LAMP)项目,这些项目旨在大幅增加未被充分代表的学生完成科学、技术、工程和数学学位的人数。该项目的成果可能有助于确保该国边境和港口的安全。该项目将影响首席研究人员在关键研究领域教育和培训人力的努力。该项目得到了美国-埃及联合基金计划的支持,该计划为两国的科学家和工程师提供资助,以开展这些合作活动。
英文摘要
0512403BayoumiDescription: This project supports collaborative research by Dr. Magdy Bayoumi, Director, Center for Advanced Computer Studies (CACS), University of Louisiana, Lafayette and Dr. Ayman El-Dessouki, President of the Electronics Research Institute (ERI), Cairo. They plan to develop a framework for automated scene surveillance using algorithms, architecture, and prototyping. From the technological-solution perspective, video surveillance has been widely employed for this purpose. However, the advances in this area have mainly aimed at the video sensors only. The human operator still has to analyze the images. In other words, despite the technological advances individually made for sensors, and computing power, there exists a vacuum for a fully automated system capable of scene understanding and automated surveillance. This project proposes to automate the process of tracking objects on the area of observance by comprising a network of sensors and closed circuit television cameras. It identifies threats and raises the alarm. Intellectual Merit: the proposed activity will deepen the understanding of video surveillance, monitoring, and automatic scene understanding. The followings are the objectives/features of the proposed architecture for an automated scene understanding: Resistance to attacks; Autonomous object detection; Video detection independent of illumination changes; Tracking of objects by agents; and Object detection without waiting for a stable camera. It will attract and prepare graduate students for research in the development of novel algorithms, methods, and hardware/software prototype for scene understanding and automated surveillance. Broader Impacts: The proposed activity will enrich the course materials offered at the CACS. It also aims to impart training to the Egyptian side through the junior researchers' visits - thus aiming to boost awareness in the scientific education. The project will promote scientific and technological cooperation between the U.S. and Egypt in the automatic video surveillance area, which is of mutual benefit to both sides. Private sector will have the chance to develop their ability to build and implement new algorithms for different tasks and can test their developed system in an already established test environment. Start up companies will get opportunities in integrating different system components and provide services for customers in need of this automated surveillance system. The PI's will collaborate with the existing university programs, such as McNair Scholars and the Louis Stokes Louisiana Alliance for Minority Participation (LS-LAMP) programs that are aimed at substantially increasing the number of underrepresented students completing degrees in science, technology, engineering, and mathematics. The project results could help in securing the country's borders and ports. The project will influence the principal investigator's efforts to educate and train manpower in the critical research areas. This project is being supported under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to carry out these cooperative activities.
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会议论文
EAGER: Spectrum Situational Awareness-Understanding the Data
  • 批准号:
    1454835
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.08万
  • 财政年份:
    2014
  • 负责人:
    Magdy Bayoumi
  • 依托单位:
US Egypt Cooperative Research: Design and Implementation of Experimental High Resolution Imaging Payload System for Nano Satellites
  • 批准号:
    1103969
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.49万
  • 财政年份:
    2011
  • 负责人:
    Magdy Bayoumi
  • 依托单位:
U.S.-Egypt Workshop on: Ubiquitous Computing: Sensors and Wireless Sensor Networks, December, 2007, Cairo, Egypt
US-Egypt Cooperative Research: Design of Smart Sensor and Its Implementation In Wireless Sensors Network
海外基金