Skip to main content

A FPGA Based High-Speed Binocular Active Vision System for Tracking Circle-Shaped Target

  • Conference paper
  • First Online:
Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9314))

Included in the following conference series:

Abstract

With the development of digital image processing technology, computer vision technology has been widely used in various areas. Active vision is one of the main research fields in computer vision and can be used in different scenes, such as airports, ball games, and so on. FPGA (Field Programmable Gate Array) is widely used in computer vision field for its high speed and the ability to process a great amount of data. In this paper, a novel FPGA based high-speed binocular active vision system for tracking circle-shaped target is introduced. Specifically, our active vision system includes three parts: target tracking, coordinate transformation, and pan-tilt control. The system can handle 1000 successive frames in 1 s, track and keep the target at the center of the image for attention.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

Institutional subscriptions

References

  1. Aloimonos, J.Y., Weiss, I., Bandopadhay, A.: Active vision. Int. J. Comput. Vision 1, 333–356 (1988)

    Article  Google Scholar 

  2. Pahlavan, K., Eklundh, J.: A head-eye systemłanalysis and design. CVGIP: Image Understand. 56, 41–56 (1992)

    Article  MATH  Google Scholar 

  3. Kuniyoshi, Y., Kita, N., Rougeaux, S., Suehiro, T.: Recent Developments in Computer Vision, pp. 191–200. Springer, Berlin (1996)

    Book  Google Scholar 

  4. Dickmanns, E.D., Graefe, V.: Dynamic monocular machine vision. Mach. Vis. Appl. 1(4), 223–240 (1988)

    Article  Google Scholar 

  5. Kutulakos, K.N., Seitz, S.M.: A theory of shape by space carving. Int. J. Comput. Vision 38(3), 199–218 (2000)

    Article  MATH  Google Scholar 

  6. Davison, A.J., Reid, I.D., Molton, N.D., Stasse, O.: MonoSLAM: Real-time single camera SLAM. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 1052–1067 (2007)

    Article  Google Scholar 

  7. Wavering, A.J., Fiala, J.C., Roberts, K.J., Lumia, R.: Triclops: a highperformance trinocular active vision system. IEEE Int. Conf. Rob. Autom. 3, 410–417 (1993)

    Google Scholar 

  8. Clady, X., Collange, F., Jurie, F., Martinet, P.: Object tracking with a pan tilt zoom camera: application to car driving assistance. IEEE Int. Conf. Rob. Autom. 2, 1653–1658 (2001)

    Google Scholar 

  9. Ishikawa, M., Toyoda, H., Mizuno, S.: 1 ms column parallel vision system and its application of high speed target tracking. IEEE Int. Conf. Robot. Autom. 1, 650–655 (2000)

    Google Scholar 

  10. Ishii, I., Taniguchi, T., Sukenobe, R., Yamamoto, K.: Development of high-speed and real-time vision platform, H3 vision. In: Intelligent Robots and Systems, pp. 3671–3678 (2009)

    Google Scholar 

  11. Jin, S., Cho, J., Pham, X.D., Lee, K.M., Park, S.-K., Kim, M., Jeon, J.W.: FPGA design and implementation of a real-time stereo vision system. IEEE Trans. Circuits Syst. Video Technol. 20(1), 15–26 (2010)

    Article  Google Scholar 

  12. Diaz, J., Ros, E., Pelayo, F.: FPGA-based real-time opticalflow system. IEEE Trans. Circuits Syst. Video Technol. 16(2), 274–279 (2006)

    Article  Google Scholar 

  13. Fischler, M., Colles, R.: Random sampling consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (No. 61170094), 863 Program 2014AA015101, Shanghai Committee of Science and Technology (14JC1402202), and Shanghai Leading Academic Discipline Project (B114).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong Lu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Du, Z., Lu, H., Yuan, H., Zhang, W., Chen, C., Xie, K. (2015). A FPGA Based High-Speed Binocular Active Vision System for Tracking Circle-Shaped Target. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9314. Springer, Cham. https://doi.org/10.1007/978-3-319-24075-6_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24075-6_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24074-9

  • Online ISBN: 978-3-319-24075-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics