IUCRC Phase II: University at Buffalo: Center for Identification Technology Research CITeR

IUCRC 第二阶段：布法罗大学：识别技术研究中心 CITeR

• 批准号: 1822190
• 负责人: Venugopal Govindaraju
• 金额: $ 40万
• 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: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822190&HistoricalAwards=false
• 关键词: IUCRC; Phase; II; University; Buffalo

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.

身份识别技术研究中心（CITeR）是一个专注于开发身份识别系统的产学研合作研究中心。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。经过确认的身份可以让一个人工作、拥有银行账户、驾驶汽车。它还有助于建立一个安全的社会，使当局能够识别不良行为者，比如被列入禁飞名单的恐怖分子嫌疑人。通过与政府和行业利益相关者的合作，CITeR通过与身份相关的协调大学研究，推进了人类身份识别能力的最新发展。CITeR专注于开发提供、确认和确定身份的技术。CITeR的核心研究重点是基于信任、隐私、安全和可靠性等坚实支柱的身份系统。纽约州立大学布法罗分校（UB）的重点是传统、软和行为生物识别技术、生物识别模板安全、多模态融合、行为生物识别技术、新兴生物识别技术（大脑、心脏、认知等）和新型生物识别测试模型的创新应用，这与其他大学的优势相辅相成。CITeR附属机构也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网站将进一步实现CITeR作为一个综合性学术中心的目标，服务于日益增长的识别技术研究和公共和私营部门的外展需求。在教师的带领下，UB的学生，研究生和本科生，将积极参与STEM外展项目，利用生物识别研究作为吸引K-12学生在BEAM（布法罗地区少数民族工程意识）项目下的兴趣。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代表性不足的学生和博士后的数量，为教师职业做准备。CITeR致力于数据共享，并打算在目前的赠款期限之后保持一个项目存储库。有关CITeR项目产生的所有数据集的信息将存档在中心范围内的单一存储库https://citer.clarkson.edu/biometric-dataset-collections/，项目结果，如出版物和工具将通过领导站点维护的中心门户网站传播https://citer.clarkson.edu/，开放源代码将通过github存储库传播，用于各个项目，链接将通过中央CITeR门户网站共享。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Significant Feature Based Representation for Template Protection

• 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)
• 作者: D. Mohan;Nishant Sankaran;S. Tulyakov;S. Setlur;V. Govindaraju

A Survey on Heart Biometrics

• 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

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

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
• 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
• 作者: Lee, Kyung Won;Sankaran, Nishant;Setlur, Srirangaraj;Napp, Nils;Govindaraju, Venu
• 通讯作者: Govindaraju, Venu