Recommended Citation
Preprint version. Published in ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI'10) Proceedings: Seoul, South Korea, December 12, 2010, pages 323-330.
Copyright © 2010 Association for Computing Machinery. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry Proceedings, December 12, 2010.
Abstract
In this paper we present a purely vision based implementation of markerless hand detection and tracking system which effectively detects and tracks the hand positions irrespective of hand orientation. A shape based detection algorithm using a new line approximation technique followed by an adaptive minimum distance classifier based tracking technique is implemented. The technique is very generic and can be practically used in all types of immersive and semi-immersive environments like simulations, three-dimensional (3D) games, visually assisted medical surgery and other humancomputer interactive applications.
Disciplines
Electrical and Computer Engineering
URL: http://digitalcommons.calpoly.edu/eeng_fac/308