Multi-action recognition via stochastic modelling of optical flow and gradients

ACM International Conference Proceeding Series

Volumn 02-December-2014, Issue , 2014, Pages 19-24

  Carvajal, Johanna ^a   Sanderson, Conrad ^a   McCool, Chris ^a   Lovell, Brian C ^a  

^a CSIRO   (Australia)

Author keywords

Gaussian mixture models; Human action recognition; Multi action recognition; Segmentation; Stochastic modelling

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; DYNAMIC PROGRAMMING; GESTURE RECOGNITION; IMAGE SEGMENTATION; INFORMATION ANALYSIS; LEARNING SYSTEMS; MARKOV PROCESSES; MOTION ESTIMATION; SENSORY ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRELLIS CODES;

ACTION RECOGNITION; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; HIDDEN MARKOV MODELS (HMMS); HUMAN-ACTION RECOGNITION; JOINT SEGMENTATION; LOW DIMENSIONAL; TEMPORAL WINDOWS;

HIDDEN MARKOV MODELS;

EID: 84985996075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2689746.2689748     Document Type: Conference Paper

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