Skip to main content

Active Control of Resolution for Stable Visual Tracking

  • Conference paper
Sensor Based Intelligent Robots

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1724))

Abstract

Success of visual tracking typically relies on the ability to process visual information sufficiently fast. Often a dynamic system model of target motion is used to estimate the target location within the image and a region of interest (ROI) is used to reduce the amount of image data processing. This has proven effective, provided the ROI is sufficiently large to detect the target and sufficiently small to be processed quick enough. Here we formally consider the size of the ROI and the resolution of the ROI to ensure that tracking is stable. Dynamic system formulation of visual tracking usually requires specification of the dynamics of the target. We analyze motions which can be described by linear time-invariant dynamical systems (although the image motion may be highly non-linear). One can successfully analyze the required ROI size and resolution to ensure stable tracking.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anandan, P.: A computational framework and an algorithm for measurement of visual motion. International Journal of Computer Vision 2, 283–310 (1989)

    Article  Google Scholar 

  2. Blake, A., Curwen, R., Zisserman, A.: A framework for spatio-temporal control in the tracking of visual contours. International Journal of Computer Vision (1993)

    Google Scholar 

  3. Clark, J., Ferrier, N.: Modal control of visual attention. In: Proc. of the Int’l Conf. on Computer Vision, pp. 514–531. Tarpon Springs, Florida (1988)

    Google Scholar 

  4. Cretual, A., Chaumette, F.: Image-based visual servoing by integration of dynamic measurements. In: International Conf. on Robotics and Automation, pp. 1994–2001 (1998)

    Google Scholar 

  5. Faugeras, O.: Three Dimensional Vision. MIT Press, Cambridge (1993)

    Google Scholar 

  6. Ferrier, N., Clark, J.: The Harvard Binocular Head. International Journal of Pattern Recognition and AI, 9–32 (March 1993)

    Google Scholar 

  7. Fieller, E.: The distribution of the index in a normal bivariate population. Biometrika 24, 428–440 (1932)

    Google Scholar 

  8. Foley, J.D., van Dam, A.: Fundamentals of interactive computer graphics. Addison-Wesley, Reading (1982)

    Google Scholar 

  9. Geary, R.: The frequency distribution of the quotient of two normal variables. Royal Statistical Society Series A 93, 442–446 (1930)

    Article  Google Scholar 

  10. Gelb, A., the Technical Staff: Analytic Sciences Corporation. In: Applied optimal estimation, Cambridge, MIT Press, Cambridge (1974)

    Google Scholar 

  11. Glassner, A.S. (ed.): Graphics gems (Volumes I-V). Academic Press, London (1990-1995)

    Google Scholar 

  12. Harris, C., Stennett, C.: Rapid – a video-rate object tracker. In: Proc. 1st British Machine Vision Conference, pp. 73–78 (1990)

    Google Scholar 

  13. Jazwinski, A.: Stochastic processes and filtering theory. Academic Press, London (1970)

    MATH  Google Scholar 

  14. Mehra, R.: Optimization of measurement schedules and sensor designs for linear dynam ic systems. IEEE Transactions on Automatic Control 21(1), 55–64 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  15. Nelson, B., Papanikolopoulos, N., Khosla, P.: Visual servoing for robotic assembly. In: Visual Servoing-Real-Time Control of Robot Manipulators Based on Visual Sensory Feedback, pp. 139–164. World Scientific Press, Singapore (1993)

    Google Scholar 

  16. Nichols, K., Hutchinson, S.: Weighting observations: the use of kinematic models in object tracking. In: Proc. 1998 IEEE International Conf. on Robotics and Automation (1998)

    Google Scholar 

  17. Okhotsimksy, D., Platonov, A.K., Belousov, I., Boguslavsky, A., Emelianov, S., Sazonov, V., Sokolov, S.: Real time hand-eye system: Interaction with moving objects. In: International Conf. on Robotics and Automation, pp. 1683–1688 (1998)

    Google Scholar 

  18. Olivier, C.: Real-time observatiblity of targets with constrained processing power. IEEE Transactions on Automatic Control 41(5), 689–701 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  19. Papnikolopoulos, N., Khosla, P., Kanade, T.: Visual tracking of a moving target by a camera mounted on a robot: A comp bination of control and vision. IEEE Transactions on Robotics and Automation 9(1) (1993)

    Google Scholar 

  20. Roberts, J., Charnley, D.: Parallel attentive visual tracking. Engineering Applications of Artificial Intelligence 7(2), 205–215 (1994)

    Article  Google Scholar 

  21. Schnackertz, T., Grupen, R.: A control basis for visual servoing tasks. In: Proc. 1995 IEEE Conf. on Robotics and Automation, Nagoya, Japan (1995)

    Google Scholar 

  22. Sullivan, G.: Visual interpretation of known objects in constrained scenes. Phil. Trans. R. Soc. Lond. B. B(337), 109–118 (1992)

    Google Scholar 

  23. Vincze, M., Weiman, C.: On optimising tracking performance for visual servoing. In: International Conf. on Robotics and Automation, pp. 2856–2861 (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ferrier, N. (1999). Active Control of Resolution for Stable Visual Tracking. In: Christensen, H.I., Bunke, H., Noltemeier, H. (eds) Sensor Based Intelligent Robots. Lecture Notes in Computer Science(), vol 1724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10705474_8

Download citation

  • DOI: https://doi.org/10.1007/10705474_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66933-3

  • Online ISBN: 978-3-540-46619-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics