Skip to main content
SpringerLink
Log in

A Study on an Efficient Sign Recognition Algorithm for a Ubiquitous Traffic System on DSP

  • Conference paper
Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

Included in the following conference series:

Abstract

This paper presents an efficient Ubiquitous computing algorithm to detect a Korean traffic sign board using adaptive segmentation by estimating an inequality and proceeding the geometrical morphology, and matching with an adaptive local affine transform. Our approach shows significant performance with efficient detection about the traffic sign board and robust recognition of object sign. Also, detection with adaptive segmentation and recognition with adaptive local affine transformation by using TMS320C6711 DSP Vision Board are set to highlight the advantages of our algorithm.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Toyama, K., Krumm, J., Brummit, B., Meyers Wallflower, B.: Principles and practice of background maintenance. In: IEEE International Conference on Computer Vision (1999)

    Google Scholar 

  2. Hamid, M.R., Baloch, A., Zaffar, A.B.N.: Object segmen¬tation using feature based conditional morphology. In: Proceedings of the 12th IEEE International Conference on Image Analysis and Processing (2003)

    Google Scholar 

  3. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, New Jersey (2002)

    Google Scholar 

  4. Wakahara, T.: Shape matching using LAT and its application to handwritten numeral recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 618–629 (1994)

    Article  Google Scholar 

  5. Texas Instrument: TMS320C6000 Imaging Developer’s Kit (IDK) video device driver user’s guide (2000)

    Google Scholar 

  6. Texas Instrument: TMS320C6000 Imaging Developer’s Kit (IDK) user’s guide (2001)

    Google Scholar 

  7. Texas Instrument: TMS320C6000 Imaging Developer’s Kit (IDK) programmer’s guide (2001)

    Google Scholar 

  8. Friedman, N., Russel, S.: Image segmentation in video sequences: A probabilistic approach. In: Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)

    Google Scholar 

  9. Shen, J., Casten, S.: An optimal linear operator for step edge detection. Computer Vision, Graphics, and Image Processing: Graphical Models and Understanding 54, 112–133 (1992)

    Google Scholar 

  10. Stark, H., Woods, J.W.: Probability and Random Processes with Applications to Signal Processing, 3rd edn. Prentice Hall, New Jersey (2002)

    Google Scholar 

  11. Christy, S., Horaud, R.: Euclidean shape and motion from multiple perspective views by affine iteration. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 1098–1104 (1996)

    Article  Google Scholar 

  12. Beardsley, P.A., Zisserman, A., Murray, D.W.: Navigation using affine structure and motion. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 800/801, pp. 85–96. Springer, Heidelberg (1994)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information and Control Engineering, Kwangwoon University, 447-1, Wolgye-dong, Nowon-gu, Seoul, 139-701, Korea

    Jong Woo Kim, Kwang Hoon Jung & Chung Chin Hyun

Authors
  1. Jong Woo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kwang Hoon Jung
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chung Chin Hyun
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, J.W., Jung, K.H., Hyun, C.C. (2005). A Study on an Efficient Sign Recognition Algorithm for a Ubiquitous Traffic System on DSP. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_124

Download citation

  • DOI: https://doi.org/10.1007/11424758_124

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation