Skip to main content
SpringerLink
Log in
Book cover

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 pp 1063–1070Cite as

Research of Detection Method of Mine Motor Vehicle Pedestrian Based on Image Processing

  • Conference paper
  • First Online:

  • 1131 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

Abstract

This paper use infrared camera to collect the front image of motor cars, and to pretreat image based on genetic algorithm and normalized incomplete Beta function. Using pulse coupled neural network for image two value segmentation; and using improved fuzzy edge detection algorithm based on genetic algorithm for recognition the rail and using heuristic method for fitting the rails; once pedestrian recognition algorithm identified pedestrian, the alarm is immediately triggered. This system can efficiently identify the pedestrian near the track, judge and early warn the position of pedestrian; it is a new technology which can eliminate the potential safety hazard of motor vehicles in the transportational process.

This is a preview of subscription content, 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   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
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

References

  1. Dong L (2009) The study based on the FPGA digital image processing. Anhui University of Science and Technology

    Google Scholar 

  2. Yunzhi J, Hao Zhifeng, Yong LZ (2011) Automatic multi-threshold image segmentation based on Block sampling and genetic algorithm. J comput-aided des Comput Graph, 11:1860–1868

    Google Scholar 

  3. Dan song C, Liu X, Jianglong T etc. (2009) The image segmentation based on Neighborhood excitation pulse coupled neural network. J Huazhong Univ Sci Technol(Nat Sci), 5:33–37

    Google Scholar 

  4. Kong WW, Lei YJ, Lei Y, Lu S (2011) Image fusion technique based on non-subsampled contourlet transform and adaptive unit-fast-linking pulse-coupled neural network. IET Image Proc 2:113–121

    Article  Google Scholar 

  5. Huang W, Jing Z (2007) Multi-focus image fusion using pulse coupled neural network. Pattern Recogn Lett 9:1123–1132

    Article  Google Scholar 

  6. Libao Z, Dongling L, Xianchuan Y ect. (2010) Region of interest image edge detection based on histogram. High power laser and particle beams, 8:1847–1851

    Google Scholar 

  7. Bo Y, Luo S, Zou Q (2010) Natural image object contour significant computational model of the edge detection. Pattern Recogn Artif Intell 6:752–758

    Google Scholar 

  8. Duan R, Li Q, Li Y (2005) Summary of study on image edge detection. Opt Tech 3:415–419

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (51104003 and 51274011) and the higher provincial young talents Fund of Anhui (2011SQRL038ZD).

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Anhui University of Science and Technology, Huainan, 232001, Anhui, China

    Chaoli Tang, Lina Wang, Liguo Qu & Yourui Huang

Authors
  1. Chaoli Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lina Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Liguo Qu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yourui Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yourui Huang .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tang, C., Wang, L., Qu, L., Huang, Y. (2013). Research of Detection Method of Mine Motor Vehicle Pedestrian Based on Image Processing. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_124

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37502-6_124

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation