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

doi:10.1109/TPAMI.2017.2669035

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能感知与计算研究中心

	Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers
	Sun, Yunlian 1,2; Zhang, Man1 ; Sun, Zhenan1 ; Tan, Tieniu1
刊名	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	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)
内容类型	期刊论文
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.