Reducing particle filtering complexity for 3D motion capture using dynamic bayesian networks

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2008, Pages 1396-1401

  Rose, Cédric ^a   Saboune, Jamal ^b   Charpillet, François ^b  

^a INRIA   (France)

^b LORIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ARTIFICIAL INTELLIGENCE; BIONICS; COMPUTER VISION; DISTRIBUTED PARAMETER NETWORKS; IMAGE PROCESSING; INFERENCE ENGINES; INTELLIGENT NETWORKS; NONLINEAR FILTERING; PROBABILITY DISTRIBUTIONS; SIGNAL FILTERING AND PREDICTION; SPEECH ANALYSIS; SPEECH RECOGNITION;

3D MOTION CAPTURES; 3D MOTIONS; COMPUTATIONAL COSTS; COMPUTER VISION PROBLEMS; CONTINUOUS STATES; DYNAMIC BAYESIAN NETWORKS; DYNAMIC SYSTEMS; PARTICLE FILTERING ALGORITHMS; REDUCING PARTICLES; STATE SPACES; STATE VECTORS;

BAYESIAN NETWORKS;

EID: 57749106244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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