By Topic

A New Thresholding Method Applied to Motion Detection

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)
Wu Huimin ; Shandong Inst. of Light Ind., Jinan ; Zheng Xiaoshi ; Zhao Yanling ; Li Na

The thresholding method is a fundamental part for motion detection and other advanced applications,so this step is very important, it must base on a reliable, effective method in order to access to the robustness of the computer intelligent video surveillance system. A new thresholding method which is simple and effective is proposed in the article. Firstly, we propose an imitating uni-Gaussian model thresholding method for motion detection, aiming at the disadvantages of this algorithm existed in the experiment, a predecessor's research is introduced, and then the second mixed thresholding method based on complementary advantages of the two aforesaid methods is proposed. Experiment results show that our final method can obtain clear and complete information of the moving object, and eliminate noise fundamentally for the scene at the same time. Motion detection with this thresholding method is accurate and real-time.

Published in:

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on  (Volume:1 )

Date of Conference:

19-20 Dec. 2008