Referenced Items are not available for this document.
A combined knowledge-based segmentation/active contour algorithm is used for target tracking through turbulence. The algorithm utilizes Bayesian modeling for segmentation of noisy imagery obtained through longrange, laser imaging of a distance target, and active contours for tip tracking. The algorithm demonstrates improved target tracking performance when compared to weighted centroiding. Open-loop and closed-loop comparisons of the algorithms using simulated imagery validate the hypothesis.
Published in:
Control Systems Technology, IEEE Transactions on
(Volume:16
,
Issue:
3
)
Date of Publication: May 2008
- Page(s):
- 469 - 474
- ISSN :
- 1063-6536
- INSPEC Accession Number:
- 9921525
- Digital Object Identifier :
- 10.1109/TCST.2007.899723
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 18 April 2008
- Issue Date :
- May 2008
- Sponsored by :
- IEEE Control Systems Society
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