AdaBoost.MRF: Boosted Markov random forests and application to multilevel activity recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 1686-1693

  Truyen, Tran The ^a   Phung, Dinh Q ^a   Bui, Hung H ^b   Venkatesh, Svetha ^a  

^a CURTIN UNIVERSITY   (Australia)

^b SRI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; DYNAMIC CONDITIONAL RANDOM FIELD (DCRF); INTELLIGENT MONITORING SYSTEMS; MARKOV RANDOM FIELD (MRF);

ALGORITHMS; COMPUTATIONAL METHODS; GESTURE RECOGNITION; INTELLIGENT AGENTS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; TREES (MATHEMATICS);

MARKOV PROCESSES;

EID: 33845575878     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.49     Document Type: Conference Paper

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