A Survey on Soft Biometrics for Human Identification

Soft Biometrics; Human Identification Using Comparative Descriptions

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2013.219 ◽

2014 ◽

Vol 36 (6) ◽

pp. 1216-1228 ◽

Cited By ~ 59

Author(s):

Daniel A. Reid ◽

Mark S. Nixon ◽

Sarah V. Stevenage

Keyword(s):

Human Identification ◽

Soft Biometrics

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Comparative Face Soft Biometrics for Human Identification

Surveillance in Action - Advanced Sciences and Technologies for Security Applications ◽

10.1007/978-3-319-68533-5_2 ◽

2017 ◽

pp. 25-50 ◽

Cited By ~ 1

Author(s):

Nawaf Yousef Almudhahka ◽

Mark S. Nixon ◽

Jonathon S. Hare

Keyword(s):

Human Identification ◽

Soft Biometrics

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A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System

Journal of Biomedicine and Biotechnology ◽

10.1155/2012/614146 ◽

2012 ◽

Vol 2012 ◽

pp. 1-7 ◽

Cited By ~ 9

Author(s):

Min-Gu Kim ◽

Hae-Min Moon ◽

Yongwha Chung ◽

Sung Bum Pan

Keyword(s):

Video Surveillance ◽

Surveillance System ◽

Human Identification ◽

National Origin ◽

Video Surveillance System ◽

Surveillance Systems ◽

Biometric Data ◽

Soft Biometrics ◽

Face Features ◽

Intelligent Video Surveillance System

Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.

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