Robust density modelling using the student's t-distribution for human action recognition

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 3261-3264

  Moghaddam, Zia ^a   Piccardi, Massimo ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Gaussian mixture model; hidden Markov model; human action recognition; Observation density modelling; Student's t distribution

Indexed keywords

ABNORMAL DATA; BASE COMPONENTS; CLASSIFICATION ACCURACY; DATA SETS; GAUSSIAN MIXTURE MODEL; GRAPHICAL MODEL; HIGHLY SENSITIVE; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; OBSERVATION DENSITY MODELLING; RECOGNITION ACCURACY; RECOGNITION RATES; T-DISTRIBUTION;

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; GESTURE RECOGNITION; HIDDEN MARKOV MODELS; IMAGE RECOGNITION; IMAGE SEGMENTATION; STATISTICS; STUDENTS;

MOTION ESTIMATION;

EID: 84856295283     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116366     Document Type: Conference Paper

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