Gait recognition based on improved dynamic Bayesian networks

Pattern Recognition

Volumn 44, Issue 4, 2011, Pages 988-995

  Chen, Changhong ^a   Liang, Jimin ^b   Zhu, Xiuchang ^a  

^a The National and Local Joint Engineering Laboratory of RF Integration and Micro Assembly Technology   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

Gait recognition; Hidden Markov model; Improved dynamic Bayesian networks; Layered time series model; Logistic dynamic texture model

Indexed keywords

DATA SETS; DYNAMIC BAYESIAN NETWORK; DYNAMIC TEXTURES; GAIT RECOGNITION; IMAGE SEQUENCE; IMPROVED DYNAMIC BAYESIAN NETWORKS; LAYERED TIME SERIES MODEL; LOGISTIC DYNAMIC TEXTURE MODEL; PRINCIPLE COMPONENT ANALYSIS; SECOND LEVEL; TIME SERIES MODELS;

DATABASE SYSTEMS; DISTRIBUTED PARAMETER NETWORKS; DYNAMIC MODELS; GAIT ANALYSIS; HIDDEN MARKOV MODELS; INFERENCE ENGINES; INTELLIGENT NETWORKS; NETWORK LAYERS; PRINCIPAL COMPONENT ANALYSIS; SPEECH RECOGNITION; TEXTURES; TIME SERIES;

BAYESIAN NETWORKS;

EID: 78650278460     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.10.021     Document Type: Article

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