I/UCRC: Identification Technology Research (CITeR) - UB Site

I/UCRC：识别技术研究 (CITeR) - 布法罗大学网站

• 批准号: 1266183
• 负责人: Venugopal Govindaraju
• 金额: $ 29.99万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1266183&HistoricalAwards=false
• 关键词: UCRC; Identification; Technology; Research; CITeR

Center for Identification Technology Research (CITeR) 1266183 SUNY at Buffalo; Venugopal Govindaraju The proposed site, SUNY at Buffalo, requests funding to establish a partner site of the Center for Identification Research (CITeR) currently comprised of the Clarkson University (lead institution), West Virginia University and the University of Arizona as research partners. The proposed site will advance the science of biometric technologies for both civilian and homeland security applications by integrating pattern recognition and machine learning algorithms with sensors technology. SUNY at Buffalo site will bring together faculty expertise, not only in core biometric modalities such as fingerprints and face recognition, and soft biometrics such as gender, age, mannerisms, and emotion, but also in related areas such as advanced computer vision, robotics, cryptography, and theoretical computer science that will allow CITeR to pursue research in the development of innovative biometric applications. CITeR affiliates will also benefit from being able to benchmark and assess the effectiveness of various hard and soft biometric technologies in real applications. The proposed site's faculty strength in Chemistry, Physics and Optics will also help CITeR pursue novel modulaties such as odor biometrics and better sensors to assist in identification technologies. The proposed site will further CITeR's objective to serve as a comprehensive academic center serving the growing identification technology research, undergraduate and graduate education, and outreach needs of the public and private sectors. This will be accomplished by providing a mechanism for the funding of pooled interdisciplinary faculty and student talent to address the challenges in identification technology. Under the auspices of BEAM (Buffalo Area Engineering Awareness for Minorities) the proposed site plans to attract the participation of local high school and undergraduate students using innovative events built around biometrics applications that incorporate treasure hunts and other fun elements to educate and interest them in STEM areas. The faculty at SUNY Buffalo are members of the NSF-AGEP (The Alliance for Graduate Education and the Professoriate) program whose goal is to significantly increase the number of underrepresented minorities obtaining graduate degrees in STEM areas. CITeR meetings will also serve as an excellent opportunity for students to interact with potential employers to understand challenges in the field.

识别技术研究中心（CITeR）1266183纽约州立大学布法罗分校; Venugopal Govindaraju拟议的网站，纽约州立大学布法罗分校，要求资金建立一个识别研究中心（CITeR）的合作伙伴网站，目前包括克拉克森大学（牵头机构），西弗吉尼亚大学和亚利桑那大学作为研究伙伴。拟议中的网站将通过将模式识别和机器学习算法与传感器技术相结合，推进民用和国土安全应用的生物识别技术科学。纽约州立大学在布法罗的网站将汇集教师的专业知识，不仅在核心生物特征识别模式，如指纹和面部识别，以及软生物特征识别，如性别，年龄，习惯和情感，而且在相关领域，如先进的计算机视觉，机器人，密码学和理论计算机科学，将允许CITeR在创新的生物特征识别应用的发展进行研究。CITeR附属机构还将受益于能够基准和评估各种硬和软生物识别技术在真实的应用中的有效性。拟议的网站在化学，物理和光学的师资力量也将帮助CITeR追求新的模块，如气味生物识别和更好的传感器，以协助识别技术。拟议的网站将进一步CITeR的目标，作为一个综合性的学术中心，服务于日益增长的识别技术研究，本科和研究生教育，以及公共和私营部门的推广需求。这将通过提供一个机制，为汇集跨学科教师和学生人才的资金，以解决在识别技术的挑战。在BEAM（布法罗少数民族地区工程意识）的赞助下，拟议的网站计划吸引当地高中和本科生的参与，使用围绕生物识别应用程序建立的创新活动，其中包括寻宝和其他有趣的元素，以教育他们并使他们对STEM领域感兴趣。纽约州立大学布法罗分校的教师是NSF-AGEP（研究生教育和教授联盟）计划的成员，该计划的目标是显着增加获得STEM领域研究生学位的少数民族人数。CITeR会议也将成为学生与潜在雇主互动的绝佳机会，以了解该领域的挑战。

项目成果

Re-identification for Online Person Tracking by Modeling Space-Time Continuum

• DOI: 10.1109/cvprw.2018.00193
• 发表时间: 2018-06
• 期刊: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
• 作者: N. Narayan;Nishant Sankaran;S. Setlur;V. Govindaraju

Wardrobe Model for Long Term Re-identification and Appearance Prediction

用于长期重新识别和外观预测的衣柜模型

• DOI: 10.1109/avss.2018.8639157
• 发表时间: 2018
• 期刊: 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS
• 作者: Lee, Kyung Won;Sankaran, Nishant;Setlur, Srirangaraj;Napp, Nils;Govindaraju, Venu
• 通讯作者: Govindaraju, Venu