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Automation of Virtual Interview System Using the Gesture Recognition of Particle Filter

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Advances in Neural Networks – ISNN 2011 (ISNN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6676))

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Abstract

This paper describes a gesture recognition algorithm based on the particle filters for automation of virtual interview system. The particle filter is well operated for human gesture 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.

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References

  1. Isard, M., Blake, A.: CONDENSATION-conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5–28 (1998)

    Article  Google Scholar 

  2. Black, M.J., Jepson, A.D.: A Probabilistic Framework for Matching Temporal Trajectories: Condensation-based Recognition of Gestures and Expressions. In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, pp. 909–924. Springer, Heidelberg (1998)

    Google Scholar 

  3. 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)

    Google Scholar 

  4. Lee, Y.-W.: Adaptive Data Association for Multi-target Tracking using relaxation. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 552–561. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. 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)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering, Honam University, Seobongdong, Gwangsangu, Gwangju, 506-714, South Korea

    Yang Weon Lee

Authors
  1. Yang Weon Lee
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Editor information

Editors and Affiliations

  1. Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, 100190, Beijing, China

    Derong Liu

  2. College of Information Science and Engineering, Northeastern University, 110004, Shenyang, Liaoing, China

    Huaguang Zhang

  3. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios Polycarpou

  4. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  5. Deptartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, 02881, Kingston, RI, USA

    Haibo He

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, Y.W. (2011). Automation of Virtual Interview System Using the Gesture Recognition of Particle Filter. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_49

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  • DOI: https://doi.org/10.1007/978-3-642-21090-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21089-1

  • Online ISBN: 978-3-642-21090-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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