By Topic

Spatio-temporal continuous wavelet transforms for motion-based segmentation in real image sequences

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

4 Author(s)
Mingqi Kong ; Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA ; J. -P. Leduc ; B. K. Ghosh ; V. M. Wickerhauser

The purpose of this paper is to develop a motion based segmentation for digital image sequences that is based on the continuous wavelet transform. The continuous wavelet transform allows estimating the motion parameters on all the moving discontinuities, edges and boundaries in the image sequence. This technique provides all the information of motion parameter estimates and edge locations at once without going back and forth refining the segmentation and the motion parameter estimation. Also, this is achieved without involving any point/block corresponding techniques in our algorithm. The edges and the motion parameter estimates are calculated locally on small windows or pixels in the image planes by maximizing the square of the modulus of the wavelet transform. A clustering procedure allows separating all the detected edges into clusters of homogeneous motion. Building a ridge skeleton on the reconstructed edges in each cluster provides the ultimate motion-based segments or partition. The algorithm was simulated using real traffic image sequences acquired by a mobile camera and proved to be accurate and robust

Published in:

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on  (Volume:2 )

Date of Conference:

4-7 Oct 1998