Hand Gesture Spotting Based on 3D Dynamic Features Using Hidden Markov Models

Communications in Computer and Information Science

Volumn 61, Issue , 2009, Pages 9-16

  Elmezain, Mahmoud ^a   Al Hamadi, Ayoub ^a   Michaelis, Bernd ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Computer vision; Gesture recognition; Gesture spotting; Pattern recognition

Indexed keywords

ADAPTIVE THRESHOLDS; AUTOMATIC SYSTEMS; CODE-WORDS; COLOR IMAGE SEQUENCES; CONFIDENCE LIMIT; CONFIDENCE MEASURE; DEPTH MAP; DYNAMIC FEATURES; GESTURE SPOTTING; HAND GESTURE; K-MEANS CLUSTERING ALGORITHM; MEAN SHIFT ALGORITHM;

CLUSTERING ALGORITHMS; COMPUTER VISION; HIDDEN MARKOV MODELS; SIGNAL PROCESSING; THREE DIMENSIONAL;

GESTURE RECOGNITION;

EID: 77952248215     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-10546-3_2     Document Type: Conference Paper

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