Video Stabilization with OpenCV

user_889 0
Viewed 37328

I have a video feed which is taken with a moving camera and contains moving objects. I would like to stabilize the video, so that all stationary objects will remain stationary in the video feed. How can I do this with OpenCV?

i.e. For example, if I have two images prev_frame and next_frame, how do I transform next_frame so the video camera appears stationary?

video opencv image-processing c++
8 Answers

I past my answer from this one. How to stabilize Webcam video?

Yesterday I just did some works (in Python) on this subject, main steps are:

  1. use cv2.goodFeaturesToTrack to find good corners.
  2. use cv2.calcOpticalFlowPyrLK to track the corners.
  3. use cv2.findHomography to compute the homography matrix.
  4. use cv2.warpPerspective to transform video frame.

But the result is not that ideal now, may be I should choose SIFT keypoints other than goodFeatures.

Source:

enter image description here

Stabilize the car:

enter image description here

user_35474850

Background: I was working on this research project where I was trying to calculate that how long would it take for person standing in the queue to reach to the counter. First thing I required was FOOTAGE so I went to the campus and recorded some tourist moving in the queue to get tickets. Till this point I had not idea how would I gonna calculate queuing time and what pre-caution should I take while recording the footage. At the end of the day I found that all the footage I recorded was recorded with shaky camera. So at this point I was first required to stabilize the video and then only develop other solution to calculate queuing time.

Video Stabilization using Template Matching

  • Find static objects such as poll, door or something that you know are not supposed to move
  • Use template matching to calculate offset of change of location of static object(relative to the frame boundaries) in each consecutive frame.
  • Translate the each frame with the offset value i.e. let's say tx and ty.

Result Footage:

Gif to show the result of this technique

As you can see in the gif that selected static object remain static w.r.t the frame boundaries while motion can be see by black filling from the edges of the frame.

user_66047020
Related