[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6109/ijice.2011.9.6.633

Automation of an Interactive Interview System by Hand Gesture Recognition Using Particle Filter

Lee, Yang-Weon (Department of Information and Communication Engineering, Honam University)

Publication Information

Journal of information and communication convergence engineering / v.9, no.6, 2011 , pp. 633-636 More about this Journal

Abstract

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system's environments.

Keywords

Filtering; Gesture recognition; Interactive interview system; Particle Filter;

Citations & Related Records

Reference

1	Yang Weon Lee, J. H. Seo and J. G. Lee, A Study on the TWS Tracking Filter for Multi-Target Tracking, Journal of KIEE, Vol. 41 No. 4, pp.411-421, Apr. 2004. 2005.
2	M.ISard and A.Blake: CONDENSATION-conditional density propagation for visual tracking. International Journal of Computer Vision,29(1) (1998) 5-28 DOI ScienceOn
3	Michael J. Black and ALlan D. Jepson: A Probabilistic Framework for Matching Temporal Trajectories: Condensation-based Recognition of Gestures and Expressions. In Proceedings 5th European Conf. Computer Vision, Vol.1, (1998)909-924
4	Michael Isard and Andrew Blake: A mixed-state condensation tracker with automatic model-switching, In Proceedings 6th International Conference of Computer Vison, (1998) 107-112
5	Yang Weon Lee, Adaptive data Association for Multi-target Tracking using relaxation, LNCS 35644, pp. 552-561,