Recognizing human action in time-sequential images using hidden Markov model

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

Volumn 1992-June, Issue , 1992, Pages 379-385

  Yamato, J ^a   Ohya, J ^a,b   Ishii, K ^a  

^a NTT CORPORATION   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

BOTTOM UP APPROACH; HUMAN-ACTION RECOGNITION; LEARNING CAPABILITIES; NUMBER OF PEOPLES; PERSON-INDEPENDENT; SYMBOL SEQUENCES; TIME-SEQUENTIAL; TRAINING SEQUENCES;

HIDDEN MARKOV MODELS;

EID: 85060905667     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.1992.223161     Document Type: Conference Paper

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