Experimental Efficiency Analysis in Robust models of Spatial Correlation Optical Flow Methods under Non Gaussian Noisy Contamination
Experimental Efficiency Analysis in Robust models of Spatial Correlation Optical Flow Methods under Non Gaussian Noisy Contamination
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2013-05
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eng
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application/pdf
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6 pages
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Proceedings of the 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2013), Krabi, Thailand, May 15-17, 2013. (IEEE Xplore)
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Abstract
In this paper, we present a performance analysis of
several robust models of spatial correlation optical flow
algorithms including an original spatial correlation optical flow
(SCOF), bidirectional for high reliability optical flow (BHR),
gradient orientation information for robust motion estimation
(GOI), and robust and high reliability based on bidirectional
symmetry and median motion estimation (RHR) under the non
Gaussian noise conditions. The simulated results are tested on 4
different in foreground and background movement
characteristics of standard sequences (AKIYO, CONTAINER,
COASTGUARD, and FOREMAN) in a degree of 0.5 sub-pixel
translation. In our experiment, an original sequence (no noise),
and noise contaminated sequences on Salt & Pepper Noise (SPN)
at density (d) = 0.025d, and 0.005d, Speckle Noise (SN) at
variance (v) = 0.05v, and 0.01v, and Poisson Noise (PN) are
utilized. The experiment concentrates on Peak Signal to Noise
Ratio (PSNR) as an indicator in the experimental performance
analysis.