Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/40328
Title: Comparison of motion smoothing strategies for video stabilization using parametric models
Authors: Sánchez, Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Video stabilization
Motion compensation
Motion smoothing
Homography
Scale-space
Issue Date: 2017
Journal: Image Processing On Line 
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.
URI: http://hdl.handle.net/10553/40328
ISSN: 2105-1232
DOI: 10.5201/ipol.2017.209
Source: Image Processing On Line [ISSN 2105-1232], v. 7, p. 309-346
URL: http://api.elsevier.com/content/abstract/scopus_id/85039912983
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