In this paper, a 2D motion detection bounded hand 3D trajectory tracking and gesture recognition system is proposed for virtual reality interactions. First, the Bayes decision rule for classification of background and foreground is utilized to automatically locate the hand that bounded within a rectangle, and then the trajectory of the hand in 3D space is tracked by mean shift particle filter and stereo imaging. The skin color feature is exploited for image matting that effectively segment the hand contour in video sequence automatically. Finally the hand gesture is recognized by the connected component analysis and line approximation.


Electrical and Computer Engineering

Publisher statement

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: Seoul, South Korea, December 12, 2010.



URL: https://digitalcommons.calpoly.edu/eeng_fac/309