Robust gait recognition by learning and exploiting sub-gait characteristics

International Journal of Computer Vision

Volumn 91, Issue 1, 2011, Pages 7-23

  Venkat, Ibrahim ^a   De Wilde, Philippe ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

Bayesian Network; Biometrics; Gait recognition; Human motion analysis; Machine learning

Indexed keywords

BINARY SILHOUETTES; COVARIATES; GAINING MOMENTUM; GAIT RECOGNITION; GAIT SEQUENCES; HUMAN MOTION ANALYSIS; HUMAN MOTIONS; INTERPRETATION MODEL; LOW RESOLUTION VIDEO SEQUENCE; MACHINE LEARNING; MOVING BODY; RECOGNITION PERFORMANCE; ROBUST DECISIONS; TRAINING SCHEMES; VIDEO SEQUENCES;

BINARY SEQUENCES; BIOMETRICS; DISTRIBUTED PARAMETER NETWORKS; GAIT ANALYSIS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING SYSTEMS; RESEARCH; SECURITY OF DATA; SPEECH RECOGNITION; VIDEO RECORDING;

BAYESIAN NETWORKS;

EID: 79951679212     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0362-6     Document Type: Article

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