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http://dx.doi.org/10.9708/jksci.2011.16.12.049

Development of A Framework for Robust Extraction of Regions Of Interest  

Kim, Seong-Hoon (Faculty of Computer and Information, Kyungpook National University)
Lee, Kwang-Eui (Dept. of Multimedia Engineering, Dong-Eui University)
Heo, Gyeong-Yong (Visual Media Center, Dong-Eui University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.12, 2011 , pp. 49-57 More about this Journal
Abstract
Extraction of regions of interest (ROIs) is the first and important step for the applications in computer vision and affects the rest of the application process. However, ROI extraction can be easily affected by the environment such as illumination, camera, etc. Many applications adopt problem-specific knowledge and/or post-processing to correct the error occurred in ROI extraction. In this paper, proposed is a robust framework that could overcome the environmental change and is independent from the rest of the process. The proposed framework uses a differential image and a color distribution to extract ROIs. The color distribution can be learned on-line, which make the framework to be robust to environmental change. Even more, the components of the framework are independent each other, which makes the framework flexible and extensible. The usefulness of the proposed framework is demonstrated with the application of hand region extraction in an image sequence.
Keywords
ROI Extraction; Differential Image; Color Distribution; Object Tracking;
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