Hand gesture recognition and tracking based on distributed locally linear embedding

Image and Vision Computing

Volumn 26, Issue 12, 2008, Pages 1607-1620

  Ge, S S ^a   Yang, Y ^a   Lee, T H ^a  

^a Interactive Digital Media Institute   (Singapore)

Author keywords

Distributed locally linear embedding (DLLE); Gesture recognition and tracking; Gesture tracking; Hand recognition; Probabilistic neural network (PNN)

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DATABASE SYSTEMS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; VISUAL COMMUNICATION;

COMPUTER-VISION SYSTEMS; DIMENSIONAL SPACES; DISTRIBUTED LOCALLY LINEAR EMBEDDING (DLLE); GESTURE RECOGNITION AND TRACKING; GESTURE TRACKING; HAND GESTURES; HAND POSTURES; HAND RECOGNITION; HAND-GESTURE RECOGNITION; HUMAN HANDS; IMAGES SEQUENCE; INPUT IMAGES; INPUT SEQUENCE; INTRINSIC STRUCTURES; LOCALLY LINEAR EMBEDDING; MOTION DATABASES; NON-LINEAR DIMENSIONALITY REDUCTION; PROBABILISTIC NEURAL NETWORK; PROBABILISTIC NEURAL NETWORK (PNN); RELATIVE POSITIONING; SINGLE CAMERAS;

GESTURE RECOGNITION;

EID: 52949105353     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.03.004     Document Type: Article

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