2-3 September 2021
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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
The Enrichment of Texture Information to Improve Optical Flow for Silhouette Image
Digital Object Identifier (DOI) : 10.14569/IJACSA.2021.0120253
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 2, 2021.
Abstract: Recent advances in computer vision with machine learning enabled detection, tracking, and behavior analysis of moving objects in video data. Optical flow is fundamental information for such computations. Therefore, accurate algorithm to correctly calculate it has been desired long time. In this study, it was focused on the problem that silhouette data has edge information but does not have texture information. Since popular algorithms for optical flow calculation do not work well on the problem, a method was proposed in this study. It artificially enriches the texture information of silhouette images by drawing shrunk edge on the inside of it with a different color. By the additional texture information, it was expected to give a clue of calculating better optical flows to popular optical flow calculation algorithms. Through the experiments using 10 videos of animals from the DAVIS 2016 dataset and TV-L1 algorithm for dense optical flow calculation, two values of errors (MEPE and AAE) were evaluated and it was revealed that the proposed method improved the performance of optical flow calculation for various videos. In addition, some relationships among the size of shrunk edge and the type and the speed of movement were suggested from the experimental results.
Keywords: Optical flow; silhouette image; artificial increase of texture information
Bedy Purnama, Mera Kartika Delimayanti, Kunti Robiatul Mahmudah, Fatma Indriani, Mamoru Kubo and Kenji Satou, “The Enrichment of Texture Information to Improve Optical Flow for Silhouette Image” International Journal of Advanced Computer Science and Applications(IJACSA), 12(2), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120253
@article{Purnama2021,
title = {The Enrichment of Texture Information to Improve Optical Flow for Silhouette Image},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120253},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120253},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {2},
author = {Bedy Purnama and Mera Kartika Delimayanti and Kunti Robiatul Mahmudah and Fatma Indriani and Mamoru Kubo and Kenji Satou}
}
