By Topic

Automatic Segmentation of Video Object under Static Background

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

4 Author(s)
Chen, Liwei ; Commun. Eng. Coll., Jilin Univ., Changchun, China ; Shigang Wang ; Wei, Jian ; Tianxiao Guan

Segmentation of semantic video object planes (VOPpsilas) from video sequence is a key to the standard MPEG-4 with content-based video coding. In our paper, we propose an automatic segmentation algorithm under static background. The algorithm can extract accurate video objects from slow moving video sequences. The initial two coarse masks are first obtained based on frame difference and motion detection, then the two coarse masks are further processed by a lot of post-processing algorithms. Finally, the final mask guides the extraction. The final mask is got through logic ldquoANDrdquo of the two corrected masks. The proceeding results demonstrate the good performance of the algorithm.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009