A reduced-order Kalman filter for moving images.
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Authors
Lindeman, Philip A.
Subjects
extended Kalman filter
moving image model
spatial frequency phase shift for moving objects
moving image model
spatial frequency phase shift for moving objects
Advisors
Burl, Jeffrey B.
Date of Issue
1989-12
Date
December 1989
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
An extended Kalman filter is used to estimate the
velocity of an object moving across an image frame and to
reduce the undesirable effects of noise. The extended Kalman
filter is implemented in the spatial frequency domain to
reduce the number of computations. The resulting filter
structure is a parallel bank of third-order extended Kalman
filters. This parallel structure is referred to as the
modified extended Kalman filter. The performance of the
modified extended Kalman filter is evaluated under a variety
of noise conditions using computer simulations. Simulations
employed two test objects moving across a reference image in
the presence of zero-mean, white, Gaussian noise. The
performance of the filter was demonstrated when these objects
were moved at integer and noninteger velocities. Performance
was also evaluated when a stationary background was included
with the white noise.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
100 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.