Skip to main content

Detection of Bus Routes Number in Bus Panel via Learning Approach

  • Conference paper
Book cover Intelligent Information and Database Systems (ACIIDS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8398))

Included in the following conference series:

Abstract

Detection of bus route number is a very important issue for assisting visually impaired people to take the bus. This paper proposes an intelligent approach to detect bus route numbers to help visually impaired people to “see” the bus route number of a moving bus. Current e-bus stations in Taipei, Taiwan, are not very robust in bad weather. For visually impaired people, it is very difficult know which bus route number is approaching the bus station. Some past research used RFID, GIS, sound, and image-based methods to help visually impaired people to “see” bus route number. However, the development of bus route number reading devices for visually impaired people in real time is still at an early stage. In this paper, we propose an efficient and effective learning-based method to detect the bus route number in displayed on the bus façade panel of the moving bus. Experimental results show that the proposed method can reduce time complexity and achieve high bus route number detection rates.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Taipei e-bus System, http://www.e-bus.taipei.gov.tw/new/english/en_index_6_1.aspx

  2. Noor, M.Z.H., Ismail, I., Saaid, M.F.: Bus detection device for the blind using RFID application. In: International Colloquium on Signal Processing & Its Applications, pp. 247–249 (2009)

    Google Scholar 

  3. Mustapha, A.M., Hannan, M.A., Hussain, A., Basri, H.: UKM campus bus identification and monitoring using RFID and GIS. In: IEEE Student Conference on Research and Development, pp. 101–104 (2009)

    Google Scholar 

  4. Pan, H., Yi, C., Tian, Y.: A Primary Travelling Assistant System of Bus Detection and Recognition for Visually Impaired People. In: IEEE Workshop on MAP4VIP, in conjunction with ICME 2013 (2013)

    Google Scholar 

  5. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: Computer Vision and Pattern Recognition, vol. 1, pp. 886–893 (2005)

    Google Scholar 

  6. Chang, C.C., Lin, C.J.: LIBSVM: a Library for Support Vector Machine (2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm

  7. Yi, C., Tian, Y.: Text String Detection from Natural Scenes by Structure-based Partition and Grouping. IEEE Trans. on IP 20(9), 2594–2605 (2011)

    MathSciNet  Google Scholar 

  8. Tsai, C.M., Yeh, Z.M.: Text detection in bus panel for visually impaired people ‘seeing’ bus route number. In: ICMLC, pp. 1234–1239 (2013)

    Google Scholar 

  9. Kukharev, G., Novosielski, A.: Visitor identification elaborating real time face recognition system. In: Proc. 12th WSCG, pp. 157–164 (2004)

    Google Scholar 

  10. Color Conversion (RGB to YCbCr), http://msdn.microsoft.com/en-us/library/ff635643.aspx

  11. Rother, C., Kolmogorov, V., Blake, A.: Grabcut - interactive foreground extraction using iterated graph cuts. ACM Trans. on Graphics 23(3), 309–314 (2004)

    Article  Google Scholar 

  12. Tsai, C.M., Lee, H.J.: Binarization of color document images via luminance and saturation color features. IEEE Trans. on IP 11(2), 434–451 (2002)

    MathSciNet  Google Scholar 

  13. Confidence interval, http://en.wikipedia.org/wiki/Confidence_interval

  14. Chang, F., Chen, C.J., Lu, C.J.: A linear-time component-labeling algorithm using contour tracing technique. CVIU 93(2), 206–220 (2004)

    Google Scholar 

  15. Tsai, C.-M.: Intelligent Post-processing via Bounding-Box-based Morphological Operations for Moving Objects Detection. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds.) IEA/AIE 2012. LNCS (LNAI), vol. 7345, pp. 647–657. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Tsai, C.M.: Intelligent region-based thresholding for color document images with highlighted regions. Pattern Recognition 45(4), 1341–1362 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Tsai, CM., Yeh, ZM. (2014). Detection of Bus Routes Number in Bus Panel via Learning Approach. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05458-2_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05457-5

  • Online ISBN: 978-3-319-05458-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics