Robust Optical Flow Algorithm Based on Spatial Domain Optical Flow
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 |