Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields

Image and Vision Computing

Volumn 30, Issue 3, 2012, Pages 227-235

  Shen, Xiaohui ^a   Hua, Gang ^b   Williams, Lance ^c   Wu, Ying ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b STEVENS INSTITUTE OF TECHNOLOGY   (United States)

^c NOKIA RESEARCH CENTER   (United States)

Author keywords

Divergence fields; Hand gesture recognition; Maximum Stable Extremal Regions; Optical flow; Term frequency inverse document frequency (TF IDF)

Indexed keywords

DATABASE SYSTEMS; OPTICAL FLOWS; TEXT PROCESSING; TIME AND MOTION STUDY;

DESCRIPTORS; DIVERGENCE FIELD; EXTREMAL; GRAY-SCALE IMAGES; HAND GESTURE; HAND MOTION; HAND-GESTURE RECOGNITION; HIGH QUALITY; IMAGE SEARCH; INDEXING TECHNIQUES; LOCAL DESCRIPTORS; LOCAL MOTIONS; MOTION PATTERN; PERFORMANCE EVALUATION; RECOGNITION ACCURACY; RECOGNITION TIME; SALIENT REGIONS; SCALABLE SOLUTION; SPATIO-TEMPORAL; TERM FREQUENCY-INVERSE DOCUMENT FREQUENCIES; VISUAL REPRESENTATIONS; WEIGHTING SCHEME;

GESTURE RECOGNITION;

EID: 84859818097     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2011.11.003     Document Type: Conference Paper

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