[IPOL announce] new article: Comparison of Motion Smoothing Strategies for Video Stabilization using Parametric Models
announcements about the IPOL journal
announce at list.ipol.im
Sun Nov 26 15:38:04 CET 2017
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.
More information about the announce
mailing list