Exploiting motion correlations in 3-D articulated human motion tracking

IEEE Transactions on Image Processing

Volumn 18, Issue 6, 2009, Pages 1292-1303

  Xu, Xinyu ^a   Li, Baoxin ^b  

^a SHARP LABORATORIES OF AMERICA   (United States)

^b AZ 85281   (United States)

Author keywords

3 D articulated human motion tracking; Partial least square regression; Particle filtering; Rao Blackwellized particle filter (RBPF)

Indexed keywords

3-D ARTICULATED HUMAN MOTION TRACKING; ANNEALED PARTICLE FILTERS; CURSE OF DIMENSIONALITY; DATA SETS; ESTIMATION ERRORS; FILTER-BASED; HUMAN MOTION TRACKING; HUMAN MOTIONS; MOTION CORRELATION; NOISY IMAGE; PARAMETER SPACES; PARTIAL LEAST SQUARE REGRESSION; PARTICLE FILTER; PARTICLE FILTERING; PROPOSAL DISTRIBUTION; RAO-BLACKWELLIZED PARTICLE FILTER; RAO-BLACKWELLIZED PARTICLE FILTER (RBPF); REAL WORLD DATA; STATE VARIABLES; STRONG MOTION; TRAINING SETS;

ACOUSTIC SIGNAL PROCESSING; AIR FILTERS; CORRELATION METHODS; CURVE FITTING; FEATURE EXTRACTION; MONTE CARLO METHODS; NONLINEAR FILTERING; REGRESSION ANALYSIS; TARGET TRACKING;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; ELBOW; HUMAN; IMAGE PROCESSING; KNEE; LOCOMOTION; METHODOLOGY; MONTE CARLO METHOD; MOTION; PHYSIOLOGY; PROBABILITY; REGRESSION ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELBOW; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KNEE JOINT; LEAST-SQUARES ANALYSIS; LOCOMOTION; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; MOTION;

EID: 67349101860     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2017131     Document Type: Article

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