Non-Intrusive Acquisition of Human Action

  • Jörg Zieren
  • Ulrich Canzler
Part of the Signals and Communication Technology book series (SCT)


Feature Vector Facial Expression Hide Markov Model Recognition Accuracy Gesture Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Akyol, S. and Canzler, U. An Information Terminal using Vision Based Sign Language Recognition. In Büker, U., Eikerling, H.-J., and Müller, W., editors, ITEA Workshop on Virtual Home Environments, VHE Middleware Consortium, volume 12, pages 61–68. 2002.Google Scholar
  2. 2.
    Akyol, S., Canzler, U., Bengler, K., and Hahn, W. Gesture Control for Use in Automobiles. In Proceedings of the IAPR MVA 2000 Workshop on Machine Vision Applications. 2000.Google Scholar
  3. 3.
    Bley, F., Rous, M., Canzler, U., and Kraiss, K.-F. Supervised Navigation and Manipulation for Impaired Wheelchair Users. In Thissen, W., Wierings, P., Pantic, M., and Ludema, M., editors, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Impacts of Emerging Cybernetics and Huamn-Machine Systems, pages 2790–2796. 2004.Google Scholar
  4. 4.
    Canzler, U. and Kraiss, K.-F. Person-Adaptive Facial Feature Analysis for an Advanced Wheelchair User-Interface. In Drews, P., editor, Conference on Mechatronics & Robotics, volume Part III, pages 871–876. Sascha Eysoldt Verlag, September 2004.Google Scholar
  5. 5.
    Canzler, U. and Wegener, B. Person-adaptive Facial Feature Analysis. The Faculty of Electrical Engineering, page 62, May 2004.Google Scholar
  6. 6.
    Cootes, T., Edwards, G., and Taylor, C. Active Appearance Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681–685, 2001.CrossRefGoogle Scholar
  7. 7.
    Csink, L., Paulus, D., Ahlrichs, U., and Heigl, B. Color Normalization and Object Localization. In 4. Workshop Farbbildverarbeitung, Koblenz, pages 49–55. 1998.Google Scholar
  8. 8.
    Dugad, R. and Desai, U. B. A Tutorial on Hidden Markov Models. Technical Report SPANN-96.1, Department of Electrical Engineering, Indian Institute of Technology, May 1996.Google Scholar
  9. 9.
    Finlayson, G. D., Schiele, B., and Crowley, J. L. Comprehensive Colour Image Normalization. Lecture Notes in Computer Science, 1406(1406), 1998.Google Scholar
  10. 10.
    Jain, A. K. Fundamentals of Digital Image Processing. Prentice-Hall, 1989.Google Scholar
  11. 11.
    Jelinek, F. Statistical Methods for Speech Recognition. MIT Press, 1998. ISBN 0-262-10066-5.Google Scholar
  12. 12.
    Jones, M. and Rehg, J. Statistical Color Models with Application to Skin Detection. Technical Report CRL 98/11, Compaq Cambridge Research Lab, December 1998.Google Scholar
  13. 13.
    Juang, B. H. and Rabiner, L. R. The Segmental k-means Algorithm for Estimating the Parameters of Hidden Markov Models. In IEEE Trans. Acoust., Speech, Signal Processing, volume ASSP-38, pages 1639–1641. 1990.CrossRefGoogle Scholar
  14. 14.
    Lievin, M. and Luthon, F. Nonlinear Colour Space and Spatiotemporal MRF for Hierarchical Segmentation of Face Features in Video. IEEE Transactions on Image Processing, 13:63–71, 2004.CrossRefGoogle Scholar
  15. 15.
    Mitchell, T. M. Machine Learning. McGraw-Hill, 1997.Google Scholar
  16. 16.
    Nelder, J. and Mead, R. A Simplex Method for Function Minimization. Computer Journal, 7(4):308–313, 1965.zbMATHGoogle Scholar
  17. 17.
    Pantic, M. and Rothkrantz, L. J. M. Expert Systems for Automatic Analysis of Facial Expressions. In Image and Vision Computing Journal, volume 18, pages 881–905. 2000.CrossRefGoogle Scholar
  18. 18.
    Papageorgiou, C., Oren, M., and Poggio, T. A General Framework for Object Detection. pages 555–562. 1998.Google Scholar
  19. 19.
    Rabiner, L. and Juang, B.-H. An Introduction to Hidden Markov Models. IEEE ASSP Magazine, 3(1):4–16, 1986.CrossRefGoogle Scholar
  20. 20.
    Rabiner, L. R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Readings in Speech Recognition, 1990.Google Scholar
  21. 21.
    Schukat-Talamazzini, E. Automatische Spracherkennung. Vieweg Verlag, Braunschweig/Wiesbaden, 1995.zbMATHGoogle Scholar
  22. 22.
    Schürmann, J. Pattern Classification. John Wiley & Sons, 1996.Google Scholar
  23. 23.
    Sherrah, J. and Gong, S. Tracking Discontinuous Motion Using Bayesian Inference. In Proceedings of the European Conference on Computer Vision, pages 150–166. Dublin, Ireland, 2000.Google Scholar
  24. 24.
    Sonka, M., Hlavac, V., and Boyle, R. Image Processing, Analysis and Machine Vision. Brooks Cole, 1998.Google Scholar
  25. 25.
    Steger, C. On the Calculation of Arbitrary Moments of Polygons. Technical Report FGBV-96-05, Forschungsgruppe Bildverstehen (FG BV), Informatik IX, Technische Universität München, October 1996.Google Scholar
  26. 26.
    Tomasi, C. and Kanade, T. Detection and Tracking of Point Features. Technical Report CS-91-132, CMU, 1991.Google Scholar
  27. 27.
    Wiskott, L., Fellous, J., Krüger, N., and von der Malsburg, C. Face Recognition by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):775–779, 1997.CrossRefGoogle Scholar
  28. 28.
    Zieren, J. and Kraiss, K.-F. Robust Person-Independent Visual Sign Language Recognition. In Proceedings of the 2nd Iberian Conference on Pattern RecognitionandImage Analysis IbPRIA 2005, volume Lecture Notes in Computer Science. 2005.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jörg Zieren
    • 1
  • Ulrich Canzler
    • 2
  1. 1.RWTH Aachen UniversityAachenGermany
  2. 2.CanControlsAachen

Personalised recommendations