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This project is being used as a stepping stone to my Dynamic texture video projects. We are using this code to estimate optical flow and use it later for Dynamic Texture Identification.

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BluePanda-io/Optical_Flow_Estimation_Using_OpenCV

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Optical Flow Estimation Using OpenCV

This project is being used as a stepping stone to my Dynamic texture video projects. We are using this code to estimate optical flow and use it later for Dynamic Texture Identification - Originally developed 04/05/2018

What was developed in this project

A system for reading multiple videos and translating them into optical flow information. The videos were collected from a Dynamic Texture dataset which is vital for later Dynamic Texture based projects.

In this project, the open-source library OpenCV was used for the collection of Optical Flow from regular RGB video.

Results of the Project

Technology Used

  1. OpenCV
  2. Dynamic Texture DataSet
  3. Python
  4. JupyterNotebook

About

This project is being used as a stepping stone to my Dynamic texture video projects. We are using this code to estimate optical flow and use it later for Dynamic Texture Identification.

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