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Performance analysis of image motion analysis algorithms

Authors: Aksu, Ibrahim;

Performance analysis of image motion analysis algorithms

Abstract

Computer simulation studies of image motion analysis algorithms are presented The algorithms are the extended Kalman filter algorithm, linear feature-based algorithm (perspective and orthogonal), and the accumulative differencing algorithm. The simulation studies both using computer generated and real images are conducted to determine the performance of the algorithms on low signal to noise ratio images. Using the results of simulation studies, a comparison of the performance of image motion analysis algorithms is performed.

Approved for public release; distribution is unlimited.

http://archive.org/details/performancenalys1094528443

Lieutenant, Junior Grade, Turkish Navy

Keywords

Feature-based, Optical flow, Accumulative differencing, Extended Kalman filter

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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