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A Real Time Hand Tracking System for Interactive Applications

by Siddharth Swarup Rautaray, Anupam Agrawal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 6
Year of Publication: 2011
Authors: Siddharth Swarup Rautaray, Anupam Agrawal
10.5120/2287-2969

Siddharth Swarup Rautaray, Anupam Agrawal . A Real Time Hand Tracking System for Interactive Applications. International Journal of Computer Applications. 18, 6 ( March 2011), 28-33. DOI=10.5120/2287-2969

@article{ 10.5120/2287-2969,
author = { Siddharth Swarup Rautaray, Anupam Agrawal },
title = { A Real Time Hand Tracking System for Interactive Applications },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 6 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number6/2287-2969/ },
doi = { 10.5120/2287-2969 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:37.138473+05:30
%A Siddharth Swarup Rautaray
%A Anupam Agrawal
%T A Real Time Hand Tracking System for Interactive Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 6
%P 28-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In vision based hand tracking systems color plays an important role for detection. Skin color detection is widely used in different interactive applications, e.g. face and hand tracking, detecting people in video databases. This paper implements an effective hand tracking technique which is based on color detection. In this techniques based on the color distribution the segmentation of hand from background will take place in a real time. This technique provides to main benefits: The process of tracking is fast as the segmentation process is performed simultaneously in a specified area surrounding the hand. This technique is highly robust under different lightning conditions. To check the performance of the implemented technique a number of experiments have been performed. The implemented technique will be useful in various real time interactive applications, such as gesture recognition, augmented reality, virtual reality etc.

References
  1. Bradski, G. R. 1998. Computer video face tracking for use in a perceptual user interface, Intel Technology Journal, Q2, (1998).
  2. Cabral, N. C. Carlos, H., Morimoto, H. and Marcelo, K. Z. 2005. On the usability of gesture interfaces in virtual reality environments, In Proceedings of the Latin American conference on Human-computer interaction, (2005), 100-108.
  3. CIE. 1986. Colorimetry, second edition. Vienna, Austria. Publication CIE No. 15.2.
  4. Comaniciu,D., Ramesh, V. and Meer, P. 2000. Real-time tracking of Non-rigid objects using Mean Shift, In Proceedings of IEEE conference on Computer Vision and Pattern Recognition, (2000), 142-149.
  5. Jones M. and Rehg, J. 1998. Statistical color models with applications to skin detection, Compaq Cambridge Research lab, TP CRL 98/11, (1998).
  6. Kjeldsen., R and Kender, J. 1996. Finding skin in color images. International Conference on Automatic Face and Gesture Recognition, (1996), 312–317.
  7. Manders, C., Farbiz, M., Chong, J. H., Tang K, K. Y. , Chua , G., and Loke, M.H. 2008. Robust hand tracking using a skin tone and depth joint probability model, International Conference on Automatic Face and Gesture Recognition, (2008).
  8. K. Nickel and R. Stiefelhagen. Pointing gesture recognition based on 3D tracking of face, hands and head orientation, In Proceedings of the Fifth International Conference on Multimodal Interfaces, pp. 140-146, 2003.
  9. Ong, E. J and Bowden, R. 2004. A boosted classifier tree for hand shape detection, In Proceedings of the 6th IEEE Conference on Automatic Face and Gesture Recognition, 2004. 889-894.
  10. Y. Raja, S. J. Mckenna and S. G. Gong. Colour model detection and adaptation in dynamic dcenes, 5th European Conference on Computer Vision, pp. 460-474, 1998.
  11. L. Sigal, S. Sclaroff and V. Athitsos. Skin Color-based video segmentation under time-varying illumination, IEEE Trans on Pattern Analysis and Machine Intelligence, 26(7), pp. 862-877, 2004.
  12. Y. Wu and T. S. Huang. Color tracking by transductive learning, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 133-138, 2000.
  13. Y. Wu, Q. Liu and T. S. Huang. An adaptive self-organizing color segmentation algorithm with application to robust real-time human hand localization, In Proceedings of Asian Conference on Computer Vision, pp. 1106-1111, 2000.
  14. X. M. Yin and M. Xie. Hand image segmentation using color and RCE neural network. Journal of Robotics and Autonomous Systems, 34(4), pp. 235-250, 2001.
  15. Z. Zhang, Y. Wu, Y. Shan and S. Shafer. Visual panel: Virtual mouse keyboard and 3D controller with an ordinary piece of paper, In Proceedings of the Workshop on Perceptive User Interface, pp. 1-8, 2001.
  16. X. Zhu , J. Yang, and A. Waibel . Segmentation hands of arbitrary color, In Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, pp. 90-95, 2000.
  17. M. Yuan, F.Farbiz, C.M. Manders and T. Yen. Robust hand tracking using simple color classification technique, In International Journal of Virtual Reality, 8(2), pp. 7-12, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Skin color hand segmentation human computer interaction real-time tracking

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