By Topic

Camera Motion Modeling for Video Stabilization Performance Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tanakian, M.J. ; Fac. of Electr. & Comput. Eng., Univ. of Sistan & Baluchestan, Zahedan, Iran ; Rezaei, M. ; Mohanna, F.

Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS algorithm should only remove the unwanted motion while maintain the intentional motion. Numerical performance assessment of motion compensation (MC) unit of a digital stabilizer is a difficult task since the pure intentional camera motion path as reference is not available. To solve the lack of reference, we propose a model for the intentional camera motion to produce synthetic camera motion path as reference. Having a reference path for intentional camera motion, a random noise is added to it to simulate the unwanted camera motion. When provided motion path is processed by a DVS algorithm, computing a distance measure such as mean-square error (MSE) between the processed motion path and the reference path can be considered as a numerical performance measure.

Published in:

Machine Vision and Image Processing (MVIP), 2011 7th Iranian

Date of Conference:

16-17 Nov. 2011