IEEE transactions on control systems technology, 2008-05, Vol.16 (3), p.469-474
2008
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Knowledge-Based Segmentation for Tracking Through Deep Turbulence
- Ist Teil von
- IEEE transactions on control systems technology, 2008-05, Vol.16 (3), p.469-474
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2008
- Quelle
- IEEE Electronic Library Online
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1063-6536eISSN: 1558-0865DOI: 10.1109/TCST.2007.899723Titel-ID: cdi_proquest_miscellaneous_34605776
- Format
- –
- Schlagworte
- Active contours, Active control, Algorithms, Applied sciences, Artificial intelligence, Atmospheric modeling, Bayesian statistics, Computer science, control theory, systems, Control theory. Systems, Exact sciences and technology, Fluid flow, geometric flows, Image processing, Image segmentation, Jitter, Knowledge base, Laser noise, Modelling and identification, Optical imaging, Optical noise, Pattern recognition. Digital image processing. Computational geometry, Radar tracking, Segmentation, Shape, Target tracking, Tracking, turbulence, Turbulent flow