A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views

Neurocomputing

Volumn 75, Issue 1, 2012, Pages 78-87

  Cilla, Rodrigo ^a   Patricio, Miguel A ^a   Berlanga, Antonio ^a   Molina, José M ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Bayesian networks; Computer vision; Human action recognition; Machine learning

Indexed keywords

BAYESIAN NETWORKS; CAMERAS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; IMAGE RECOGNITION; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS;

CAMERA CALIBRATION; CLASSIFIER FUSION; DIMENSIONAL SPACES; DISTRIBUTED SYSTEMS; HUMAN-ACTION RECOGNITION; POSTERIOR DISTRIBUTIONS; PROBABILISTIC CLASSIFIERS; STATE OF THE ART;

PATTERN RECOGNITION SYSTEMS;

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYESIAN LEARNING; CALIBRATION; CAMERA; CLASSIFICATION ALGORITHM; COMPUTER INTERFACE; CONTROLLED STUDY; DISCRIMINATION LEARNING; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGING SYSTEM; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PHYSICAL ACTIVITY; PRIORITY JOURNAL; PROBABILITY; THREE DIMENSIONAL IMAGING;

EID: 82455199173     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.051     Document Type: Article

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