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dc.contributor.advisorBurl, Jeffrey B.
dc.contributor.authorIldiz, Faith
dc.dateJune 1991
dc.date.accessioned2013-02-15T23:31:31Z
dc.date.available2013-02-15T23:31:31Z
dc.date.issued1991-06
dc.identifier.urihttp://hdl.handle.net/10945/28176
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe image motion analysis algorithms that generate the two dimensional velocity of objects in a sequence of images are developed. The algorithms considered consist of: the parallel extended Kalman filter method; the spatiotemporal gradient methods; the spatiotemporal frequency methods; and the one-dimensional FFT methods. These algorithms are designed to perform on low signal to noise ratio images. Each of these algorithms is applied to a sequence of computer generated images with varying signal to noise ratios. Simulations are used to evaluate the performance of each algorithm.en_US
dc.description.urihttp://archive.org/details/estimationofmoti00ildi
dc.format.extent86 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owneren_US
dc.titleEstimation of motion parameters from image sequencesen_US
dc.typeThesisen_US
dc.contributor.secondreaderCristi, Roberto
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentDepartment of Electrical and Computer Engineering
dc.subject.authorExtended Kalman filteren_US
dc.subject.authorSpatiotemporal gradienten_US
dc.subject.authorOne-dimensional FFTen_US
dc.subject.authorSpatiotemporal frequencyen_US
dc.description.serviceLieutenant, Junior Grade, Turkish Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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