This is a python-openCV implementation of this research paper by Matthias Grundmann, Vivek Kwatra and Irfan Essa. The basic goal of this piece of code is to do some PreProcessing on a given wobbly video, and then output a relatively stable video which resembles professional videography(without bumps).

Firstly, the affine transform between all the consecutive 2 frames are computed, so that we achieve an estimate of the camera trajectory.

Now, the above camera trajectory will be wobbly and needs to be smoothened. This is achieved by converting the problem to an optimization problem where the derivative needs to be minimized and the constraint is that the values don't differ more than a threshold from the original ones.

Finally a cropped region of the video is outputted where the cropped region box follows a trajectory that smoothens the output.

• Run:

bar@foo:~/VideoStabilization$ python3 src/preproc.py <video_file_path>
bar@foo:~/VideoStabilization$ python3 src/stabilize.py <Displacement_threshold_pixels>
bar@foo:~/VideoStabilization$ python3 src/generate.py <video_file_path> <Displacement_threshold_pixels>

OR

bar@foo:~/VideoStabilization$ bash script.sh <video_file_path> <Displacement_threshold_pixels>

Note: This will create 3 temporary/intermediate pickle files, please ignore them.

• Python3
• OpenCV

• Vaibhav Garg