Gesture recognition based on Hidden Markov Model from sparse representative observations

International Conference on Signal Processing Proceedings, ICSP

Volumn 2, Issue , 2012, Pages 1180-1183

  Wan, Jun ^a   Ruan, Qiuqi ^a   An, Gaoyun ^a   Li, Wei ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

hand gesture recognition; HMM; Kmeans; sparse coding; vector quantization

Indexed keywords

DYNAMIC CONDITIONAL RANDOM FIELDS; HAND-GESTURE RECOGNITION; HIDDEN CONDITIONAL RANDOM FIELDS; HMM; K-MEANS; K-MEANS CLUSTERING ALGORITHM; SPARSE CODING; STATE-OF-THE-ART METHODS;

CLUSTERING ALGORITHMS; FEATURE EXTRACTION; GESTURE RECOGNITION; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; RANDOM PROCESSES; SIGNAL PROCESSING; VIRTUAL REALITY;

VECTOR QUANTIZATION;

EID: 84876459203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICoSP.2012.6491787     Document Type: Conference Paper

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