Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers
文献类型:期刊论文
作者 | Sun, Yunlian1,2; Zhang, Man1![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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出版日期 | 2018-02-01 |
卷号 | 40期号:2页码:332-351 |
关键词 | Demographic Estimation Biometrics Human Age Estimation Gender Classification Race Recognition |
DOI | 10.1109/TPAMI.2017.2669035 |
文献子类 | Article |
英文摘要 | Biometrics is the technique of automatically recognizing individuals based on their biological or behavioral characteristics. Various biometric traits have been introduced and widely investigated, including fingerprint, iris, face, voice, palmprint, gait and so forth. Apart from identity, biometric data may convey various other personal information, covering affect, age, gender, race, accent, handedness, height, weight, etc. Among these, analysis of demographics (age, gender, and race) has received tremendous attention owing to its wide real-world applications, with significant efforts devoted and great progress achieved. This survey first presents biometric demographic analysis from the standpoint of human perception, then provides a comprehensive overview of state-of-the-art advances in automated estimation from both academia and industry. Despite these advances, a number of challenging issues continue to inhibit its full potential. We second discuss these open problems, and finally provide an outlook into the future of this very active field of research by sharing some promising opportunities. |
WOS关键词 | HUMAN AGE ESTIMATION ; SUPPORT VECTOR MACHINES ; GENDER CLASSIFICATION METHODS ; LOCAL BINARY PATTERNS ; FACE IMAGES ; SOFT BIOMETRICS ; TELEPHONE APPLICATIONS ; SEX IDENTIFICATION ; BIOLOGICAL MOTION ; GAIT SEQUENCES |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000422706000006 |
资助机构 | National Key Research and Development Program of China(2016YFB1001000) ; National Natural Science Foundation of China(61603391 ; 61603385) |
源URL | [http://ir.ia.ac.cn/handle/173211/15354] ![]() |
专题 | 自动化研究所_智能感知与计算研究中心 自动化研究所_09年以前成果 |
作者单位 | 1.Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Inst Automat,CAS Ctr Excellence Brain Sci & Intel, Beijing 100190, Peoples R China 2.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Yunlian,Zhang, Man,Sun, Zhenan,et al. Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2018,40(2):332-351. |
APA | Sun, Yunlian,Zhang, Man,Sun, Zhenan,&Tan, Tieniu.(2018).Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,40(2),332-351. |
MLA | Sun, Yunlian,et al."Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 40.2(2018):332-351. |
入库方式: OAI收割
来源:自动化研究所
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