ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
A real time hand tracking and gesture recognition approach which can deal with dynamicbackgrounds is presented. This approach is based on computer vision. It segments hand from dynamicbackgrounds using the color-based and appearance-based methods. Then, it locates the handaccording to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand.In comparison with the traditional approaches, it provides a good real time performance, is easy torealize, does not require a stationary camera and is not sensitive with intensity different because itsgesture recognition does not depend on the templates. Moreover, an augmented assembly systemusing the presented approach is described. The experiment result of the augmented assembly systemdemonstrated the effectiveness and robustness of our approach
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/57/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.392-394.1030.pdf
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