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Consist of four different approaches for generating optical flow and can be demonstrated in Colab.

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OpticalFlow

This repository consists of four different approaches for generating optical flow and can be demonstrated in Colab.

Method Paper
FlowNet 2 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Farneback Two-Frame Motion Estimation Based on Polynomial Expansion
Horn-Schunck Determining Optical Flow
Lucas-Kanade An Iterative Image Registration Technique with an Application to Stereo Vision

The following optical flow was generated by FlowNet 2.

Usage

Use Colab's chrome extension or provide a ipynb URL at http://colab.research.google.com/github/ to open main.ipynb and walkthrough four different approaches.

Results on MPI-Sintel

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Consist of four different approaches for generating optical flow and can be demonstrated in Colab.

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