REU Site: Research on Computer Vision and Multi-Agent Systems

REU 站点：计算机视觉和多智能体系统研究

• 批准号: 0850825
• 负责人: Xiaojun Qi
• 金额: $ 30.58万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-15 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0850825&HistoricalAwards=false
• 关键词: REU; Site; Research; Computer; Vision

This project will provide an opportunity for ten undergraduate students to participate in the ongoing CVMA (Computer Vision and Multi-Agent) research activities in the CS department at USU. The REU students will receive formal instruction on CVMA and an introduction to each project during the first week and a half. They will then directly work with the faculty mentor to generate computer programs for testing hypotheses and new techniques, and to demonstrate the feasibility of the specific ideas. Students will also participate in weekly individual meetings, alternated bi-weekly REU group meetings and brown- bag research group meetings, and social events. They are required to accomplish three oral presentations and writing tasks at three stages to improve communication skills essential to professionals in any discipline. Our goals are to provide undergraduate students with the opportunities to learn the research process, assimilate latest research, assess their own research, present their own work and experimental results, prepare publications, and prepare for admission to graduate school. This site will ensure at least four participants are underrepresented students and at least six participants are from other institutions, especially undergraduate institutions where research programs are limited.Intellectual Merit:The program will build a "real-world" working environment to help undergraduate students to develop an ability to think independently, a willingness to explore a multitude of approaches, a tenacity to face obstacles, and a background to learn state-of-the-art technical knowledge. Multiple projects will be defined to support and broaden current research efforts. These research projects include semantic-based CBIR (Content-Based Image Retrieval), image forensic and authentication, fire and flame detection, coalition organization with agent leadership, trust of robotic systems, and cooperative network monitoring. The proposed work will address the broad spectrums and challenging issues in CVMA using hands-on stimulating research projects. Some projects, designed for highly talented students, seek to advance knowledge and understanding by addressing unsolved problems. Others seek to employ CVMA techniques to solve the real-world problems. An intellectual approach will be applied to encourage students in active learning, free and open exchange of ideas, team spirit, and recognition and rewards for achievements. Broader Impacts:The program will impact the disciplines of CS and the competitiveness of our nation by seeding the next generation of researchers.The program will impact the individual participants by promoting the development of their independent thinking and problem-solving skills. The program's focus on students from primarily undergraduate institutions and on members of underrepresented groups will further enhance these impacts. Finally, the research itself has the potential for positive social impact due to its focus on real-world applications. Early exposure to research activities will substantially further students' learning process, significantly enhance their research experience, quickly develop their skills in CVMA related research, actively promote their interests in research, and effectively inspire their desire to pursue advanced degrees.

该项目将为10名本科生提供一个机会，参加正在进行的CVMA（计算机视觉和多智能体）的研究活动在CS部门在USU。REU的学生将接受CVMA的正式指导和介绍每个项目在第一周半。然后，他们将直接与教师导师合作，生成用于测试假设和新技术的计算机程序，并证明具体想法的可行性。学生还将参加每周一次的个人会议，每两周一次的REU小组会议和棕色袋研究小组会议，以及社交活动。他们需要在三个阶段完成三个口头报告和写作任务，以提高任何学科的专业人士所必需的沟通技巧。我们的目标是为本科生提供学习研究过程的机会，吸收最新的研究，评估自己的研究，介绍自己的工作和实验结果，准备出版物，并准备进入研究生院。该网站将确保至少四名参与者是代表性不足的学生，至少六名参与者来自其他院校，特别是研究项目有限的本科院校。智力优势：该计划将建立一个“真实世界”的工作环境，帮助本科生培养独立思考的能力，探索多种方法的意愿，面对障碍的坚韧性，以及学习最先进技术知识的背景。将确定多个项目，以支持和扩大目前的研究工作。这些研究项目包括基于语义的CBIR（基于内容的图像检索），图像取证和认证，火灾和火焰检测，代理领导的联盟组织，机器人系统的信任，以及合作网络监控。拟议的工作将解决CVMA中的广泛和具有挑战性的问题，使用动手激励研究项目。一些项目，专为高天赋的学生，寻求通过解决未解决的问题，以提高知识和理解。 其他人则寻求采用CVMA技术来解决现实世界的问题。我们将采用智能教学法，鼓励学生主动学习，自由开放地交流思想，团队精神，以及对成就的认可和奖励。 更广泛的影响：该计划将通过培养下一代研究人员来影响CS学科和我们国家的竞争力。该计划将通过促进独立思考和解决问题能力的发展来影响个人参与者。该计划的重点是从主要本科院校的学生和代表性不足的群体的成员将进一步加强这些影响。最后，研究本身具有积极的社会影响的潜力，因为它专注于现实世界的应用。 早期接触研究活动将大大促进学生的学习过程，显著增强他们的研究经验，快速发展他们在CVMA相关研究中的技能，积极促进他们对研究的兴趣，并有效激发他们追求更高学位的愿望。