Title:
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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