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http://dx.doi.org/10.5391/JKIIS.2007.17.3.368

A Study on Image Segmentation and Tracking based on Fuzzy Method  

Lee, Min-Jung (동서대학교 지역혁신센터)
Jin, Tae-Seok (동서대학교 메카트로닉스공학과)
Hwang, Gi-Hyung (동서대학교 컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.3, 2007 , pp. 368-373 More about this Journal
Abstract
In recent year s there have been increasing interests in real-time object tracking with image information. This dissertation presents a real-time object tracking method through the object recognition based on neural networks that have robust characteristics under various illuminations. This dissertation proposes a global search and a local search method to track the object in real-time. The global search recognizes a target object among the candidate objects through the entire image search, and the local search recognizes and track only the target object through the block search. This dissertation uses the object color and feature information to achieve fast object recognition. The experiment result shows the usefulness of the proposed method is verified.
Keywords
Color Image Segmentation; Fuzzy Method; ARM Processor;
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