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: --
• 依托单位: University of Louisiana at Lafayette
• 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
• 起止时间: 2005-09-01 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0512403&HistoricalAwards=false
• 关键词: U.S.; Egypt; Joint; Cooperative; Research

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.

0512403 Bayoumi描述：该项目支持路易斯安那大学拉斐特分校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。 他们计划使用算法、架构和原型开发一个自动化场景监控的框架。 从技术解决方案的角度来看，视频监控已被广泛用于此目的。然而，该领域的进展主要仅针对视频传感器。人工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，但对于能够理解场景和自动监控的全自动系统来说，仍然存在真空。该项目拟通过一个传感器和闭路电视摄像机网络，使跟踪观察区内物体的过程自动化。它识别威胁并发出警报。智力价值：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。以下是一个自动化的场景理解的建议架构的目标/功能：抵抗攻击;自主对象检测;独立于照明变化的视频检测;跟踪代理的对象;和对象检测，而无需等待一个稳定的摄像机。它将吸引和准备研究生在开发新的算法，方法和硬件/软件原型的场景理解和自动监控的研究。更广泛的影响：拟议的活动将丰富CACS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提供培训-从而旨在提高科学教育的认识。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，这对双方都有利。 私营部门将有机会发展他们为不同任务构建和实施新算法的能力，并可以在已经建立的测试环境中测试他们开发的系统。初创公司将有机会集成不同的系统组件，并为需要这种自动化监控系统的客户提供服务。PI将与现有的大学项目合作，如McNair Scholars和Louis Stokes Louisiana Alliance for Minority Participation（LS-LAMP）项目，旨在大幅增加完成科学，技术，工程和数学学位的代表性不足的学生人数。该项目的成果可有助于确保该国边界和港口的安全。该项目将影响主要研究者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-埃及联合基金方案的支持，该方案向两国的科学家和工程师提供赠款，以开展这些合作活动。