By Topic

Video object segmentation and tracking for content-based video coding

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)
J. Y. Zhou ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; E. P. Ong ; C. C. Ko

A novel technique for the segmentation and tracking of moving objects is proposed. The proposed scheme extracts moving objects based on both motion and spatial information. Initially, an intra-frame segmentation is performed using a morphological segmentation algorithm. After this, the video object areas are merged according to their motions based on a new criterion. When different moving objects are extracted, their affine motion parameters are estimated. In the tracking stage, different objects are projected to the next frame according to their affine motion parameters. The projected regions may be overlapped and/or uncovered, creating uncertain areas. By using a two-scan zig-zag algorithm, the pixels in the uncertain areas can be absorbed into one of the neighboring objects. Experimental results demonstrated successful object segmentation and tracking in both moving and stationary background cases

Published in:

Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on  (Volume:3 )

Date of Conference:

2000