Title:
Adaptive image segmentation and tracking :
a Bayesian approach
Adaptive image segmentation and tracking :
a Bayesian approach
dc.contributor.advisor | Tannenbaum, Allen R. | |
dc.contributor.author | Stein, Andrew Neil | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.contributor.department | Electrical Engineering | en_US |
dc.date.accessioned | 2007-02-09T20:57:53Z | |
dc.date.available | 2007-02-09T20:57:53Z | |
dc.date.issued | 2002-08 | en_US |
dc.description.degree | M.S. | en_US |
dc.format.extent | 238 bytes | |
dc.format.mimetype | text/html | |
dc.identifier.bibid | 637821 | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/13397 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | en_US |
dc.rights | Access restricted to authorized Georgia Tech users only. | en_US |
dc.subject.lcsh | Image processing Digital techniques | en_US |
dc.subject.lcsh | Pattern recognition systems | en_US |
dc.subject.lcsh | Optics | en_US |
dc.subject.lcsh | Target acquisition | en_US |
dc.subject.lcsh | Remote sensing | en_US |
dc.subject.lcsh | Adaptive | |
dc.title | Adaptive image segmentation and tracking : a Bayesian approach | en_US |
dc.type | Text | |
dc.type.genre | Thesis | |
dspace.entity.type | Publication | |
local.contributor.corporatename | School of Electrical and Computer Engineering | |
local.contributor.corporatename | College of Engineering | |
relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |
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