Biologically inspired feature manifold for gait recognition

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 895-902

  Mu, Yang ^a   Tao, Dacheng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Biologically inspired feature; Gait; Linear subspace; Manifold leaning

Indexed keywords

BIOLOGICALLY INSPIRED; DATA SETS; FINGER PRINT; GAIT FEATURES; GAIT RECOGNITION; HUMAN GAIT; HUMAN VISUAL CORTEX; LABEL INFORMATION; LINEAR SUBSPACE; LOCAL GEOMETRY; MANIFOLD LEARNING; PALMPRINTS; PHYSICAL CHARACTERISTICS; PSYCHOLOGICAL STATE; SOUTH FLORIDA; SUBSPACE LEARNING; USER COOPERATION;

BIOMETRICS; COMPUTER VISION; GAIT ANALYSIS;

LEARNING ALGORITHMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICALLY INSPIRED FEATURE; BIOMETRY; CLASSIFIER; CONTROLLED STUDY; DISCRIMINATIVE LOCALITY ALIGNMENT; FEMALE; GAIT; GEOMETRY; HUMAN; HUMAN EXPERIMENT; LEARNING ALGORITHM; MALE; PRIORITY JOURNAL; VISUAL CORTEX;

EID: 75749133541     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.09.017     Document Type: Article

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