Robust Optical Flow Algorithm Based on Spatial Domain Optical Flow

au.identifier.callno D227r 2016
dc.contributor.author Darun Kesrarat
dc.date.accessioned 2017-11-08T03:42:32Z
dc.date.available 2017-11-08T03:42:32Z
dc.description Includes bibliography.
dc.description.abstract In this paper, we focus on the robustness in noise tolerance of spatial domain optical flow. We present a performance study of bidirectional confidential with median filter on spatial domain optical flow (spatial correlation, local based optical flow, and global based optical flow) under non-Gaussian noise. Several noise tolerance models on spatial domain optical flow are used in comparison. The experimental results are investigated on robustness under noisy condition by using non-Gaussian noise (Poisson Noise, Salt & Pepper noise, and Speckle Noise) over several standard sequences. The experiment concentrates on error vector magnitude (EVM) as performance indicators for accuracy in the direction and distance of motion vector (MV). In EVM, the result in MV of each method is used to compare with the ground truth vector in the experimental performance analysis. en_US
dc.format.extent 17 pages en_US
dc.format.mimetype application/pdf en_US
dc.identifier.uri https://repository.au.edu/handle/6623004553/20056
dc.language.iso eng en_US
dc.publisher Assumption University en_US
dc.rights This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. en_US
dc.rights.holder Assumption University en_US
dc.subject Digital image processing en_US
dc.subject Digital signal processing en_US
dc.title Robust Optical Flow Algorithm Based on Spatial Domain Optical Flow en_US
dc.type Text en_US
mods.genre Research Report en_US
mods.location.physicalLocation 4th Floor (Cathedral of Learning) en_US
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