This application deals with video of neural recordings. In such recordings, feature sizes are small. On top of it, recordings are quite noisy. Animal head movements introduces sharp shakes. Out of the box video stabilizer may not work very well on such recordings. Though there are quite a lot of plugins for ImageJ to do such a work, I haven’t compared their performance with this application. This application is hosted here https://github.com/dilawar/video_stabilizer
and a demo video is available on youtube here https://www.youtube.com/watch?v=vGjIFvzOOQ8
The summary of basic principle is following:
0. Collect all frames in a list/vector.
1. Use bilateral filter to smooth out each frame. Bilateral filter smoothens image without distorting the edges (well to a certain extent).
2. Calculate optical flow between previous frame and current frame. This is a proxy for movement. Construct a transformation and store them in a vector. OpenCV function `goodFeatureToTrack` does almost all the work for us.
- Take average of these transformations and apply it on each frame of original recording; that’s correct motion.