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Journal of Optical Technology

Journal of Optical Technology

| SIMULTANEOUS RUSSIAN-ENGLISH PUBLICATION

  • Vol. 78, Iss. 5 — May. 1, 2011
  • pp: 305–307

Segmentation and tracking of objects on a complex background

I. V. Borisova  »View Author Affiliations


Journal of Optical Technology, Vol. 78, Issue 5, pp. 305-307 (2011)
http://dx.doi.org/10.1364/JOT.78.000305


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Abstract

This paper discusses methods of discriminating the shape of an object from a fragment of an actual image and of detecting a target in each image of a video sequence. A set of attributes of the object and a special rule for rewriting the reference – a dynamic measure of closeness – is used to achieve stable tracking.

© 2011 OSA

History
Original Manuscript: August 23, 2010
Published: June 20, 2011

Citation
I. V. Borisova, "Segmentation and tracking of objects on a complex background," J. Opt. Technol. 78, 305-307 (2011)
http://www.opticsinfobase.org/jot/abstract.cfm?URI=jot-78-5-305


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References

  1. P. A. Bakut and G. S. Kolmogorov, "Image segmentation: methods of distinguishing the boundaries of regions," Zarubezh. Radioélek. (10), 25 (1987).
  2. P. G. Popov and I. V. Borisova, "Practical use of the rebound effect in image processing," Opt. Zh. 66, (4), 94 (1999) [J. Opt. Technol. 66, 360 (1999)].
  3. I. E. Abdou and W. K. Pratt, "Quantitative design and evaluation of enhancement/Threshold edge detector," Proc. IEEE 67, 753 (1979). [CrossRef]
  4. P. G. Popov, "Dynamic measure of the closeness of images: Part I: Distinguishing motion," Avtometriya (1), 60 (1994).
  5. P. G. Popov, "Dynamic measure of the closeness of images: Part II: Short-term memory. Control Systems," Avtometriya (2), 47 (1994).
  6. P. E. Él’yasberg, Determining Motion from the Results of Measurements, Nauka, Moscow, 1976.

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