A survey and proposed framework on the soft biometrics technique for human identification in 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.
Department of Control and Instrumentation Engineering, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 501-759, Republic of Korea.
Min-Gu
MG
Kim
Hae-Min
HM
Moon
Yongwha
Y
Chung
Sung Bum
SB
Pan
D001699:Biometry / Q000379:methods*; D003116:Color; D003625:Data Collection; D004777:Environment; D005145:Face; D005260:Female; D018732:Forensic Anthropology / Q000379:methods* / Q000706:statistics & numerical data*; D005684:Gait; D006801:Humans; D008297:Male; D014741:Video Recording / Q000379:methods* / Q000706:statistics & numerical data*