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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 40, Iss. 26 — Sep. 10, 2001
  • pp: 4679–4687

Nonlinear correlation for estimating the motion of multiple objects in image sequences

Jeffrey B. Burl and Sujai S. Karampuri  »View Author Affiliations


Applied Optics, Vol. 40, Issue 26, pp. 4679-4687 (2001)
http://dx.doi.org/10.1364/AO.40.004679


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Abstract

A nonlinear correlation algorithm is proposed for estimating the motion of objects from an image pair. This algorithm requires no a priori information on the number, size, or shape of the moving objects and does not require feature extraction or segmentation of either image. The algorithm directly yields information on the number of moving objects, the motion of the objects, and the size of the objects. Additional processing can be performed to yield the centroid of the objects in either frame. The utility of the resulting algorithm is demonstrated by application to a pair of example image sequences.

© 2001 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(110.2960) Imaging systems : Image analysis

History
Original Manuscript: June 12, 2000
Revised Manuscript: June 11, 2001
Published: September 10, 2001

Citation
Jeffrey B. Burl and Sujai S. Karampuri, "Nonlinear correlation for estimating the motion of multiple objects in image sequences," Appl. Opt. 40, 4679-4687 (2001)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-40-26-4679


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