Chin-Hwa Kuo This email address is being protected from spambots. You need JavaScript enabled to view it.1, Ping-Huang Wu1 and Tay-Shen Wang1

1Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.


 

Received: March 2, 2005
Accepted: May 9, 2005
Publication Date: June 1, 2005

Download Citation: ||https://doi.org/10.6180/jase.2005.8.2.01  


ABSTRACT


A color model, called RGB-Ellipse, is developed in this paper. The proposed color model takes advantages of CIE-L*a*b*94 and CMC(l:c) in determining color differences. Furthermore, the transformation between RGB and RGB-Ellipse is linear. As a result, we are able to manipulate the noise tolerance processing as well as the computation efficiency in dealing with color differences. By using the above features, we develop a real-time moving objects segmentation scheme. The developed segmentation scheme consists of two main steps: (1) region seed determination and region growing and (2) region-based change detection and background update. The results from a visual surveillance system are given to highlight the value of the proposed color model and moving objects segmentation scheme.


Keywords: Image Segmentation, Color Model, Surveillance System


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