Skip to main content

Open-Set Face Recognition-Based Visitor Interface System

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5815))

Abstract

This work presents a real-world, real-time video-based open-set face recognition system. The system has been developed as a visitor interface, where a visitor looks at the monitor to read the displayed message before knocking on the door. While the visitor is reading the welcome message, using the images captured by the webcam located on the screen, the developed face recognition system identifies the person without requiring explicit cooperation. According to the identity of the person, customized information about the host is conveyed. To evaluate the system’s performance in this application scenario, a face database has been collected in front of an office. The experimental results on the collected database show that the developed system can operate reliably under real-world conditions.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Li, F., Wechsler, H.: Open set face recognition using transduction. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(11) (2005)

    Google Scholar 

  2. Stallkamp, J., Ekenel, H., Stiefelhagen, R.: Video-based face recognition on real-world data. In: International Conference on Computer Vision, ICCV 2007 (2007)

    Google Scholar 

  3. Jones, M.J., Viola, P.: Fast multi-view face detection. Technical Report TR2003-96, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA (2003)

    Google Scholar 

  4. Ekenel, H., Stiefelhagen, R.: Analysis of local appearance-based face recognition: Effects of feature selection and feature normalization. In: CVPR Biometrics Workshop, New York, USA (2006)

    Google Scholar 

  5. Schölkopf, B., Burges, C.J.C., Smola, A.J.: Advances in Kernel Methods -Support Vector Learning. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  6. Akbani, R., Kwek, S., Japkowicz, N.: Applying support vector machines to imbalanced datasets. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol. 3201, pp. 39–50. Springer, Heidelberg (2004)

    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

Ekenel, H.K., Szasz-Toth, L., Stiefelhagen, R. (2009). Open-Set Face Recognition-Based Visitor Interface System. In: Fritz, M., Schiele, B., Piater, J.H. (eds) Computer Vision Systems. ICVS 2009. Lecture Notes in Computer Science, vol 5815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04667-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04667-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04666-7

  • Online ISBN: 978-3-642-04667-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics