Browse > Article

A Study on the Gesture Recognition Using the Particle Filter Algorithm  

Lee, Yang-Weon (호남대학교 정보통신공학과)
Kim, Chul-Won (호남대학교 정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.11, 2006 , pp. 2032-2038 More about this Journal
Abstract
The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle Inter and apply the MATLAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.
Keywords
Particle Filter; Gesture Recognition; Traking; Matlab;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. Isard and A. Blake, 'CONDENSATION - conditional density propagation for visual tracking', Int. J. Computer Vision, 1998
2 Michael Isard and Andrew Blake, 'A mixed-state condensation tracker with automatic model-switching,' In Proceedings 6th Internal Conf. computer Vision, pp. 107-112, 1998
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, pp. 909-924, 1998   DOI   ScienceOn