By Topic

Motion objects detection based onwavelet clustering

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

2 Author(s)
Li Zeng ; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China ; Wenjuan Wu

Motion objects detection is a process of segmenting the motion objects or regions from the rest of the sequent images. This paper presents an approach to motion objects detection by applying wavelet clustering with frame difference, which satisfies some requirements of rapid motion objects detection. By analyzing adjacent frame difference results and utilizing multi-resolution property of wavelet clustering analysis, we can identify arbitrary shape multiply motion objects. Experiment results show that good accuracy of proposed algorithm was obtained.

Published in:

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Date of Conference:

8-11 Aug. 2009