• window10
• vs2015

• opencv 3.4.2

• matlab R2015b

• Eigen

• libivcore

• c++

• We have provided Eigen and libivcore in \lib

This program was divided into two parts, the \Trajectory tracking and \Video Smooth. Each part can run independently

input: Source Video (source_video.mp4)
output: trajectorys （videoXX_path,txt）

1. open \Trajectory tracking\my_tracker.m

2. Modify some main variables

   • caseFile :The folder where the source video is located
   • saveFile :A folder for storing trajectory date
   • casename:Name of your source video

3. running

input:trajectorys （videoXX_path,txt)
output:stable video (stable_video_XX.mp4)

1. Open the project in /Video smooth/ by visual studio, and Adding dependencies to projects

2. Modify some main variables

   • video_name: Name of your source video

   • video_file: The folder where the source video is located

   • path_file: A folder for storing trajectory data from the previous step

   • save_path: A folder for storing stable video results

   • {alpha_1,alpha_2,Beta_1,Beta_2,gamma}: Five parameters of energy equation (detailed reference paper)

3. running

T. Ma, Y. Nie, Q. Zhang, Z. Zhang, H. Sun and G. Li, "Effective Video Stabilization via Joint Trajectory Smoothing and Frame Warping," in IEEE Transactions on Visualization and Computer Graphics.
doi: 10.1109/TVCG.2019.2923196
keywords: {Trajectory;Smoothing methods;Cameras;Two dimensional displays;Three-dimensional displays;Feature extraction;Streaming media;Video stabilization;trajectory smoothing;mesh warping;optimization},
URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8737754&isnumber=4359476