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DOI: 10.14569/IJACSA.2020.0110969
PDF

Video Processing for Animation at Key Points of Movement in the Mimosa Pudica

Author 1: Rodolfo Romero-Herrera
Author 2: Laura Mendez-Segundo

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 9, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The processing of an image of a moving plant is inadequate, for this reason, digital video processing must be incorporated, which allows the behavior of an algorithm to be analyzed over time. A method is presented that takes images of a plant with autonomous movement filmed on video; the frames are digitally processed and the information is used to generate animations. Our representation of the structure is derived from an analysis of the image where the plant is deformed; the projections of the movement of the plant are recovered from the video frames and are used as a basis to generate videograms in an animation based on key points taken from an image; Harris and Brisk algorithms are applied. The main plant used is the Mimosa Pudica. Once the frames have been obtained, correlation is proposed as a mechanism to find movement. The techniques are equally useful for any other moving plant such as carnivores or sunflowers.

Keywords: Harris; Brisk; correlation; ROI (Region of Interest); Canny. Sobel; Mimosa Pudica; movement

Rodolfo Romero-Herrera and Laura Mendez-Segundo, “Video Processing for Animation at Key Points of Movement in the Mimosa Pudica” International Journal of Advanced Computer Science and Applications(IJACSA), 11(9), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110969

@article{Romero-Herrera2020,
title = {Video Processing for Animation at Key Points of Movement in the Mimosa Pudica},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110969},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110969},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {9},
author = {Rodolfo Romero-Herrera and Laura Mendez-Segundo}
}



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.

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