A human action recognition algorithm based on semi-supervised kmeans clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6758, Issue , 2011, Pages 227-236

  Yuan, Hejin ^a   Wang, Cuiru ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

human action recognition; kmeans clustering; semi supervised learning

Indexed keywords

ACTION SEQUENCES; CLASS LABELS; CORRELATION COEFFICIENT; DATA SETS; FEATURE IMAGES; FEATURE REPRESENTATION; HISTORY IMAGES; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; K-MEANS CLUSTERING ALGORITHM; KMEANS CLUSTERING; MOTION ENERGY; MOTION HISTORY IMAGES; RECOGNITION ACCURACY; RECOGNITION MODELS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; TRAINING EXAMPLE;

CLUSTERING ALGORITHMS; GESTURE RECOGNITION; SUPERVISED LEARNING;

MOTION ESTIMATION;

EID: 80455158353     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22639-7_22     Document Type: Conference Paper

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