A system for person-independent hand posture recognition against complex backgrounds

  • A computer vision system for non-independent recognition of hand postures against complex background is presented. The system is based on Elastic Graph Matching (EGM), which was extended to allow for combinations of different feature types at the graph nodes.

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Metadaten
Author:Jochen TrieschORCiD, Christoph von der Malsburg
URN:urn:nbn:de:hebis:30-20427
DOI:https://doi.org/10.1109/34.977568
ISSN:1939-3539
ISSN:0162-8828
ISSN:2160-9292
Parent Title (English):IEEE transactions on pattern analysis and machine intelligence
Publisher:IEEE
Place of publication:New York, NY
Document Type:Article
Language:English
Date of Publication (online):2005/11/07
Year of first Publication:2001
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2005/11/07
Tag:Gabor wavelets; complex backgrounds; computer vision; elastic graph maching; gesture recognition; hand posture recognition; human computer intaraction; human robot interaction; object recognition; segmentation
Volume:23
Issue:12
Page Number:6
First Page:1449
Last Page:1453
Note:
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Source:IEEE transactions on pattern analysis and machine intelligence, vol. 23, no. 12, p. 1449-1453, 2001
HeBIS-PPN:354944959
Institutes:Physik / Physik
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoDeutsches Urheberrecht