[IPOL announce] new article: Comparison of Motion Smoothing Strategies for Video Stabilization using Parametric Models

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2017/209/

Javier Sánchez,
Comparison of Motion Smoothing Strategies for Video Stabilization using 
Parametric Models, Image Processing On Line, 7 (2017), pp. 309–346.
https://doi.org/10.5201/ipol.2017.209

Abstract
This paper is devoted to a rigorous implementation and to an exhaustive 
comparison of video stabilization techniques. These techniques aim at 
removing the undesirable effects of camera shake. They first estimate a 
global transform from frame to frame, which can be a translation, a 
similarity, an affine map or a homography. This generates a signal that 
can be smoothed and used to compensate the noisy transform signal. This 
paper compares all classic smoothing methods and their boundary 
conditions. It also analyzes two algorithms to crop the video after 
stabilization. The stabilization results are displayed in a scale-space 
form permitting to extract valuable information about ego-motion such as 
its frequencies and its general tendencies.