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 filter 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
ISard, M., Blake, A.: CONDENSATION-conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5–28 (1998)
Black, M.J., Jepson, A.D.: A Probabilistic Framework for Matching Temporal Trajectories: Condensation-based Recognition of Gestures and Expressions. Proceedings 5th European Conf. Computer Vision 1, 909–924 (1998)
Isard, M., Blake, A.: A mixed-state condensation tracker with automatic model-switching. In: Proceedings 6th International Conference of Computer Vision, pp. 107–112 (1998)
Lee, Y.W.: Adaptive Data Association for Multi-target Tracking using relaxation. In: Eisinger, N., Małuszyński, J. (eds.) Reasoning Web. LNCS, vol. 3564, pp. 552–561. Springer, Heidelberg (2005)
Lee, Y.W., Seo, J.H., Lee, J.G.: A Study on the TWS Tracking Filter for Multi-Target Tracking. Journal of KIEE 41(4), 411–421 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, H.K., Lee, Y.W., Lee, C.W. (2007). A Study on the Gesture Recognition Based on the Particle Filter. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_53
Download citation
DOI: https://doi.org/10.1007/978-3-540-74819-9_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
Online ISBN: 978-3-540-74819-9
eBook Packages: Computer ScienceComputer Science (R0)