Estimation of motion parameters from image sequences
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Authors
Ildiz, Faith
Subjects
Extended Kalman filter
Spatiotemporal gradient
One-dimensional FFT
Spatiotemporal frequency
Spatiotemporal gradient
One-dimensional FFT
Spatiotemporal frequency
Advisors
Burl, Jeffrey B.
Date of Issue
1991-06
Date
June 1991
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
The 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.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
86 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner