Video stabilization based on human visual system

Yun Gu Lee

doi:10.1117/1.JEI.23.5.053009

19 September 2014 Video stabilization based on human visual system

Yun Gu Lee

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 5, 053009 (September 2014). https://doi.org/10.1117/1.JEI.23.5.053009

Abstract

A video stabilization method based on a new concept inspired by the human visual system is presented. The human eye provides a stable scene by continuously changing the eye’s orientation in a way that always places the focused target in the center of one’s view. Similar to the human eye, the proposed algorithm focuses only on a single target object within a scene and stabilizes the target on the two-dimensional image plane by rotating a camera in three-dimensional space while most previous methods consider all objects in a video. The rotational angles of the camera along the x and y axes are simply predicted from a translational motion vector of the target object on the image plane. Hence, the proposed algorithm can provide a vivid video as if it was seen through the eye. Efficient video stabilization by approximating the human visual system is introduced, a practical method for real-time devices. Experimental results demonstrate that the visual feelings of the compensated videos are different depending on the selected target object and the approximating method provides a reasonable performance.

Citation Download Citation

Yun Gu Lee "Video stabilization based on human visual system," Journal of Electronic Imaging 23(5), 053009 (19 September 2014). https://doi.org/10.1117/1.JEI.23.5.053009

Published: 19 September 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available