By Topic

Study on a method for detecting the moving objects by coupling the Clausius Entropy model and the 3D MRF model

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

2 Author(s)
Chol Jong ; Inf. Center, Kim Il Sung Univ., Pyongyang, South Korea ; Huiming Tang

In this work we propose a new method for detecting the moving objects using pixel-level change by coupling the belief propagation(BP) method in the 3D MRF(Markov Random Field) model and Clausius Entropy model. The BP method estimates the motion possibility by considering the spatial and temporal interaction of pixels of the moving objects, and therefore has the high detect correctness. In addition this method is applicable to the environment with the changing background due to the movement of the camera. Clausius Entropy method, recently proposed, is one for detecting the objects by the entropy difference by transforming the image region to entropy region and is stable against the noise. In this work, we successfully detect all the moving objects from the small objects to the disguised objects by applying the 3D MRF model in entropy region by coupling these two methods.

Published in:

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-27 May 2012