IUCRC Phase II: University at Buffalo: Center for Identification Technology Research CITeR
IUCRC Phase II: University at Buffalo: Center for Identification Technology Research CITeR
批准号:
1822190
负责人:
Venugopal Govindaraju
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-15 至 2024-07-31
中文摘要
身份识别技术研究中心(CITER)是一个工业/大学合作研究中心,专注于开发身份系统。可证明和可验证的身份是现代社会的必需品,也是可靠身份系统的基础。确认身份后,人们就可以工作、开立银行账户和开车。它还促进了一个安全的社会,使当局能够识别不良行为者,如禁飞名单上的恐怖分子嫌疑人。CITER与政府和行业利益相关者合作,通过与身份相关的大学协调研究,推动人类身份识别能力的发展。CITeR专注于开发提供、确认和确定身份的技术。Citer的核心研究重点是建立在信任、隐私、安全和可靠性等坚实支柱上的身份系统。纽约州立大学布法罗分校(UB)网站的重点是传统、软和行为生物识别、生物识别模板安全、多模式融合、行为生物识别、新兴生物识别(大脑、心脏、认知等)和新型生物识别测试模体的创新应用,这是对其他大学网站优势的补充。CITER附属公司还将受益于能够对各种生物识别技术在实际应用中的有效性进行基准测试和评估。UB网站将进一步推动CITER作为一个综合学术中心的目标,为公共和私营部门日益增长的身份识别技术研究和推广需求服务。在教职员工的带领下,UB的研究生和本科生将积极参与STEM外联计划,利用生物识别研究作为吸引力,在BEAM(水牛城地区少数族裔工程意识)计划下激发K-12学生的兴趣。UB教师将与NSF-AGEP(研究生教育和教授联盟)计划合作,该计划的目标是增加未被充分代表的学生和博士后为教师职业生涯做准备的人数。CITeR致力于数据共享,并打算在当前拨款期限之后保持一个项目库。有关CITER项目生成的所有数据集的信息将存档在https://citer.clarkson.edu/biometric-dataset-collections/项目的单一中心范围存储库中。出版物和工具等结果将通过在牵头站点维护的中心门户网站传播,https://citer.clarkson.edu/开源代码将通过GitHub存储库发布,各个项目的链接将通过中央CITER门户网站共享。该奖项反映了国家科学基金会的法定使命,并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Center for Identification Technology Research (CITeR) is an Industry/University Cooperative Research Center focused on developing identity systems. A provable and verifiable identity is a necessity in modern society and the foundation for reliable identity systems. A confirmed identity allows one to work, maintain a bank account, and drive a car. It also facilitates a safe society, allowing authorities to identify bad actors, such as suspected terrorists on no-fly lists. In partnership with government and industry stakeholders, CITeR advances the state of the art in human identification capabilities through coordinated university research related to identity.CITeR is focused on developing technologies for providing, confirming, and determining identity. CITeR's core research focuses on identity systems resting on firm pillars of trust, privacy, security, and reliability. The focus of the SUNY University at Buffalo (UB) site is on innovative applications of traditional, soft and behavioral biometrics, biometric template security, multi-modality fusion, behavioral biometrics, emerging biometrics (brain, heart, cognitive etc.), and novel biometric test phantoms, and this complements the strengths of the other university sites. CITeR affiliates will also benefit from being able to benchmark and assess the effectiveness of various biometric technologies in real applications.The UB site will further CITeR's objective to serve as a comprehensive academic center serving the growing identification technology research and outreach needs of the public and private sectors. Led by faculty, UB students, graduate and undergraduate, will actively engage in STEM outreach programs that use biometrics research as a draw to pique the interest of K-12 students under the BEAM (Buffalo Area Engineering Awareness for Minorities) program. UB faculty will work with the NSF-AGEP (The Alliance for Graduate Education and the Professoriate) program whose goal is to increase the number of underrepresented students and postdocs preparing for faculty careers.CITeR is committed to data sharing and intends to maintain a project repository well beyond the current duration of the grant. Information regarding all data sets generated from CITeR projects will be archived at the single center-wide repository at https://citer.clarkson.edu/biometric-dataset-collections/ Project results such as publications and tools will be disseminated through the center portal maintained at the lead site https://citer.clarkson.edu/ Open sourced code will be disseminated through github repositories for individual projects and links will be shared through the central CITeR portal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(11)
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科研奖励(0)
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DOI:
10.1109/cvprw.2019.00293
发表时间:
2019-06
期刊:
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
影响因子:
--
作者:
[D. Mohan;Nishant Sankaran;S. Tulyakov;S. Setlur;V. Govindaraju]
通讯作者:
D. Mohan;Nishant Sankaran;S. Tulyakov;S. Setlur;V. Govindaraju
DOI:
10.1145/3410158
发表时间:
2021-02-01
期刊:
ACM COMPUTING SURVEYS
影响因子:
16.6
作者:
[Rathore, Aditya Singh, Li, Zhengxiong, Xu, Wenyao]
通讯作者:
Xu, Wenyao
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)
影响因子:
--
作者:
[N. Narayan;Nishant Sankaran;S. Setlur;V. Govindaraju]
通讯作者:
N. Narayan;Nishant Sankaran;S. Setlur;V. Govindaraju
Multi Loss Fusion For Matching Smartphone Captured Contactless Finger Images
用于匹配智能手机捕获的非接触式手指图像的多重损耗融合
DOI:
10.1109/wifs53200.2021.9648393
发表时间:
2021
期刊:
2021 IEEE International Workshop on Information Forensics and Security (WIFS
影响因子:
--
作者:
[Jawade, Bhavin, Agarwal, Akshay, Setlur, Srirangaraj, Ratha, Nalini]
通讯作者:
Ratha, Nalini
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
影响因子:
--
作者:
[Lee, Kyung Won, Sankaran, Nishant, Setlur, Srirangaraj, Napp, Nils, Govindaraju, Venu]
通讯作者:
Govindaraju, Venu
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