VideoStabilization

Description

Reduces distracting vibrations from videos by smoothing the transition between frames in a video

How it Works

1. Find the transformation from frame[i-1] to frame[i] using optical flow for all frames in the video. The transformation consists of three parameters:
   • dx (x direction)
   • dy (y direction)
   • da (angle)
2. Accumulate the transformations to get the trajectory for x, y and a for each frame
3. Smooth out the trajectory to ensure the image actually appears 'stabilized'.
4. Create a new transformation such that: new_transformation = old_transformation + (smoothed_trajectory - trajectory)
5. Apply the new_transformation to the video

Software Versions

• python 3.6.1
• cv2 3.3.0
• numpy 1.2.1
• pandas 0.20.3
• imtils 0.4.3
• tqdm 4.11.2