US Bahrain Cooperative Research-CNIC: Intelligent Video Surveillance Systems for Hajjrites

1341126Ahmed Abdelgawad本项目将支持中密歇根大学工程技术系Ahmed Abdelgawad博士和巴林大学Yasser Ismail博士的研究。他们计划利用监控系统的数据，将麦加朝圣（Hajj）作为一个特殊的场合，200万至300万人聚集在一起，在指定的道路上步行或开车所造成的交通状况。研究的目的是加快从摄像机传输到监控室的视频信号的编码过程。这项工作将分为两个阶段：模拟研究、调查和提出新的视频编码算法；硬件实施阶段，重点是开发低功耗、高速、高效的监控摄像头，用于监控朝觐交通活动。智力优势：pi计划解决高速视频编码中的一些前沿问题。这个项目可以通过提出新的实时应用的运动估计算法来推进信号处理科学。由于建立实时视频流测试平台的后勤和耗时挑战，目前的许多算法设计工作都依赖于分析或仿真模型。这极大地限制了视频监控系统的发展。该项目将侧重于设计和测试一个完全集成的基础设施。它将使信号处理领域的新颖和潜在的变革性网络研究成为可能。此外，该项目还旨在支持环境监测、自动驾驶汽车和机器人应用等其他领域正在进行的研究和实验。pi在运动估计中已经有了一些非常有希望的结果。他们将首先形式化改进的运动估计算法，然后进行硬件原型实现。后一部分将寻求在现实环境中验证算法。PI计划使用大型基于人群的视频数据集来测试他的设计，例如，从朝觐期间的视频监控中获得的数据集。这是一个非常现实的环境来评估工作，并将适用于其他监测设置。更广泛的影响：主要目标是培养具有教育和研究专业知识的工程师，这将有助于为教育注入发现的兴奋，并通过学习视角的多样性丰富研究。这将通过设计跨学科项目课程（即信号处理、嵌入式系统和图像处理）来部分完成。通过国际合作，PI将引导新兴的本科生和研究生从事信号处理研究，开辟新的科学方向，鼓励新的想法，促进知识向社会转移。PI是一名新教师，计划利用研究工作开发新课程，并将与正在进行的成功的大学招生计划合作。实践经验与理论原理相结合，将是一个非常有吸引力的项目，创新的学生和代表性不足的群体。该项目将帮助在当地K-12学校和青年团体进行示范。他将在美国女工程师学会（SWE）发表演讲，鼓励女性参与他的研究领域。该项目的结果将通过网站公布。该项目将确定新的实时应用，这将有利于社会，特别是在安全方面。

1341126Ahmed AbdelgawadThis project will support research by Dr. Ahmed Abdelgawad, Department of Engineering and Technology at Central Michigan University and Dr. Yasser Ismail, University of Bahrain. They plan to use surveillance system data taken during the pilgrimage in Mecca (the Hajj) as a unique occasion where some 2-3 million people gather for 4 days, and with the traffic that results as they move on foot or by car in prescribed paths. The research goal is to speed the encoding process of video signals that are transmitted from cameras to the monitoring room. The work will be in two phases: the simulation to study, investigate, and propose new algorithms for video encoding; and the hardware implementation phase which will focus on developing low power, high speed and efficient monitoring cameras that can be used for monitoring activities in Hajj traffic.Intellectual Merit: The PIs plan to address some cutting edge problems in high-speed video encoding. This project can advance the science of signal processing by suggesting new motion estimation algorithms for real-time applications. Due to the logistical and time-consuming challenges of establishing a real time video streaming test bed, much of the current algorithms design work has relied on analytical or simulation models. This has significantly limited the development of the video surveillance systems. This project will focus on the design and test of a fully integrated infrastructure. It will enable novel and potentially transformative network research in signal processing. In addition the project is designed to support on-going research and experimentation in other areas such as environmental monitoring, autonomous vehicle, and robot applications. The PIs have some very promising results already in motion estimation. They will first formalize the improved motion estimation algorithms and then proceed to a hardware prototype implementation. The latter part will seek to validate the algorithms in realistic settings. The PI plans to test his design using large crowd-based video datasets, i.e., as obtained from video surveillance during the Hajj. This is a very realistic environment to evaluate the work and will have applicability to other surveillance settings as well. Broader Impacts: A major goal is to produce engineers that have the education and research expertise, this will help to infuse education with the excitement of discovery and enrich research through the diversity of learning perspectives. This will be accomplished, in part, through the design of an inter-disciplinary project based course (i.e., signal processing, embedded systems, and image processing). With international collaboration, the PI will orient emerging undergraduate and graduate students toward research in signal processing, open up new scientific directions, encourage new ideas, and facilitate knowledge transfer to society. The PI who is a new faculty is planning to use research work to develop new courses, and will partner with on-going and successful university student recruitment programs. The hands-on experience combined with theoretical principles will be a very attractive program to the innovative student and under-represented groups. The project will help to have demonstrations at local K-12 schools and youth groups. The PI will give presentations to Society of Women Engineers (SWE) to encourage women to participate in his research field. The outcome of this project will be available through a website. The project will identify new real time applications, which will benefit the society especially for security.