A generative framework to investigate the underlying patterns in human activities

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 1472-1479

  Malgireddy, Manavender R ^a   Nwogu, Ifeoma ^a   Govindaraju, Venu ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; AUTOMATIC CLUSTERING; DATA SETS; DYNAMIC BAYESIAN NETWORK; GENERATIVE MODEL; HIERARCHICAL BAYESIAN MODELS; HUMAN ACTIVITIES; LATENT DIRICHLET ALLOCATIONS; LEARNING FRAMEWORKS; MOTION PATTERN; PATTERNS OF MOTION; TEMPORAL ORDERING; VISUAL FEATURE;

HIDDEN MARKOV MODELS; IMAGE PROCESSING; STATISTICS; TIME AND MOTION STUDY;

BAYESIAN NETWORKS;

EID: 84856639328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130424     Document Type: Conference Paper

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