This repository provides an implementation of the Horn and Schunck Optical Flow algorithm for motion estimation. The data is a video with the format ".avi" and can be found in the data folder.
$ python optical_flow.py </data/path>The project report can be found in the "ProjectReport" folder.
To obtain the optical flow vectors, the experiments are conducted with different smoothness parameters and error functions are reported.
The frames are estimated using the motion vecors reached by optical flow algorithm.
Utilized from "Video-Interpolation-using-Optical-Flow" by Vineeth S. (vineeths96@github) for estimation using the optical flow vectors.