By Topic

A Novel Automatic Motion Segmentation Method Based on Optical Flow

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)
Haifeng Lu ; State Key Lab. for Multispectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Tianxu Zhang ; Cong Yao

Motion segmentation is one of the fundamental problems in digital image processing area. The estimation of velocity field is one of the most notable approaches on the first step of motion segmentation. A novel motion segmentation method is proposed, which is nonparametric and automatically selects value of the segmentation criterion. In particular, we first employ the optical flow to estimate the motion field; then we establish a segmentation criterion and measure the difference between regions of the moving objects and background separated in the segmentation criterion at each level; next we adopt the level of the segmentation criterion which makes the two regions the most different; finally, our approach output regions of moving objects and background from the scene. Experimental results demonstrate that our method is effective, and the procedure is much simpler than the methods often used.

Published in:

Multimedia Technology (ICMT), 2010 International Conference on

Date of Conference:

29-31 Oct. 2010