Effect of silhouette quality on hard problems in gait recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 2, 2005, Pages 170-183

  Liu, Zongyi ^a   Sarkar, Sudeep ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Eigen stance; Gait recognition; Population hidden Markov model (HMM); Segmentation

Indexed keywords

EDGE DETECTION; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; GAIT ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS;

EIGENSTANCE; GAIT RECOGNITION; POPULATION HIDDEN MARKOV MODEL; SILHOUETTE RECONSTRUCTION;

GESTURE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMETRY; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; EVALUATION; GAIT; HUMAN; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PHYSIOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; CLUSTER ANALYSIS; COMPUTER GRAPHICS; DIAGNOSIS, COMPUTER-ASSISTED; GAIT; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; USER-COMPUTER INTERFACE;

EID: 17444408510     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.842251     Document Type: Article

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