By Topic

Multiview extensive partition operators for semantic video object extraction

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
$33 $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)
D. Gatica-Perez ; Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA ; Ming-Ting Sun ; Chuang Gu

Occlusion/disocclusion is one of the fundamental problems for semantic video object (SVO) extraction, where pixel-wise accuracy is required. This issue is critical because the degradation in tracking due to object occlusion/disocclusion significantly increases the amount of user interaction required in off-line video editing applications. We present an approach based on the application of an extensive operator on a lattice of partitions, which exploits information from various views of the scene, based on a probabilistic formulation. Our multiview operator builds on the regional application of the maximum a posteriori principle, by integrating a single-view region classification stage with a multiview stage that improves classification for those disoccluded regions labeled as uncertain. Results on several real sequences show that our approach improves the SVO tracking compared to the single-view case and that, as a result, increases the quality of the extracted SVOs and reduces the total amount of user interaction

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:11 ,  Issue: 7 )