Cart (Loading....) | Create Account
Close category search window

Spatiotemporal Smooth Models for Moving Object Detection

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

5 Author(s)
Hong Yang ; State Key Lab. for Multi-Spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan ; Jinwen Tian ; Ying Chu ; Qiling Tang
more authors

In this letter, we address the problem of modeling scene background for moving object detection. Although the per-pixel model has been extensively exploited in the literature, the pixel-pair relationship is still a nontrivial problem to be represented efficiently. To deal with this issue, we propose a spatiotemporal smooth model based on conditional random field. Besides the mutual influence on labels, data dependencies are encoded into the spatiotemporal smooth model effectively by employing the contextual constraints in terms of both spatial coherence and temporal persistency. Accurate extraction of foreground from nonstationary scenes can be achieved by the proposed model. Experiments conducted on various sequences demonstrate the property of the proposed method.

Published in:

Signal Processing Letters, IEEE  (Volume:15 )

Date of Publication:


Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.