Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers

doi:10.1109/TPAMI.2017.2669035

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	Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers
	Sun, Yunlian 1,2; Zhang, Man1 ; Sun, Zhenan1 ; Tan, Tieniu1
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2018-02-01
卷号	40 期号:2 页码:332-351
文章类型	Article
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.
关键词	Demographic Estimation Biometrics Human Age Estimation Gender Classification Race Recognition
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TPAMI.2017.2669035
关键词[WOS]	HUMAN AGE ESTIMATION ; SUPPORT VECTOR MACHINES ; GENDER CLASSIFICATION METHODS ; LOCAL BINARY PATTERNS ; FACE IMAGES ; SOFT BIOMETRICS ; TELEPHONE APPLICATIONS ; SEX IDENTIFICATION ; BIOLOGICAL MOTION ; GAIT SEQUENCES
收录类别	SCI ; SSCI
语种	英语
项目资助者	National Key Research and Development Program of China(2016YFB1001000) ; National Natural Science Foundation of China(61603391 ; 61603385)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000422706000006
引用统计	被引频次：44[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/15354
专题	智能感知与计算研究中心 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
第一作者单位	模式识别国家重点实验室
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.

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