DocumentCode
2355485
Title
Graph-based matching of occluded hand gestures
Author
Shamaie, Atid ; Sutherland, Alistair
Author_Institution
Sch. of Comput. Applications, Dublin City Univ., Ireland
fYear
2001
fDate
1-12 Oct 2001
Firstpage
67
Lastpage
73
Abstract
Occlusion is an unavoidable subject in most machine vision areas. Recognition of partially-occluded hand gestures is an important problem. In this paper a new algorithm is proposed for the recognition of occluded and non-occluded hand gestures based on matching the Graphs of gestures in an eigenspace
Keywords
computer vision; gesture recognition; pattern recognition; user interfaces; eigenspace; graph-based matching; machine vision; occluded hand gestures recognition; Computer applications; Hidden Markov models; Human computer interaction; Image recognition; Keyboards; Lighting; Machine vision; Mice; Principal component analysis; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop, AIPR 2001 30th
Conference_Location
Washington, DC
Print_ISBN
0-7695-1245-3
Type
conf
DOI
10.1109/AIPR.2001.991205
Filename
991205
Link To Document