Skip to main content

A Sound-Directed Cameraman Accommodating Unfettered-Speaking in e-Learning Classrooms

  • Conference paper
Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

Included in the following conference series:

Abstract

The cameraman plays a vital role in e-learning classroom, which provides the focal scene to broadcast automatically according to the on-the-spot instruction context. However, the existing cameramen have some drawbacks in meeting the relevant requires, especially in tracking the sound objects. Thereby, we present a sound-directed cameraman, which can track the sound object and captures his/her focal video in a compelling precision automatically according to users’ demands beforehand. Besides, it owns a good few merits, such as switching scene video fluently, facility in setting the shooting demands, flexibility for calibrating.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Shi, Y., Xie, W., Xu, G., et al.: The smart classroom: merging technologies for seamless tele-education. IEEE Pervasive Computing 2(2), 47–55 (2003)

    Article  Google Scholar 

  2. Yang, M.-H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(1), 34–58 (2002)

    Article  Google Scholar 

  3. Bernier, O., Collobert, M., Feraud, R., et al.: MULTRAK: a system for automatic multi-person localization and tracking in real-time. In: International Conference on Image Processing 1998, pp. 136–140. IEEE Press, New York (1998)

    Google Scholar 

  4. Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition. Prentice-Hall, New Jersey (1993)

    Google Scholar 

  5. Knapp, C.H., Carter, G.C.: The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech, and Signal Processing 24(4), 320–327 (1976)

    Article  Google Scholar 

  6. Van Huffel, S., Vanderwalle, J.: The Total Least Square Problem: Computational Aspects and Analysis. Society for Industrial and Applied Mathematics, Philadelphia (1991)

    Google Scholar 

  7. Ni, L.M., Liu, Y., Lau, Y.C., et al.: LANDMARC: Indoor Location Sensing Using Active RFID. Kluwer Wireless Networks 10(6), 701–710 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gu, H., Shen, R., Chen, Z. (2009). A Sound-Directed Cameraman Accommodating Unfettered-Speaking in e-Learning Classrooms. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10467-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics