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Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System

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2 Author(s)
Jieun Kim ; Dept. of IT Convergence, Daegu Gyeongbuk Inst. of Sci. & Technol.(DGIST), Daegu, South Korea ; Woo Young Jung

We propose an improved method to accurately localize objects from surveillance camera system. It includes clustering estimation method using clusters analysis and improved fuzzy c-means clustering. It is very useful for herds of cattle localization. Our evaluation shows high accuracy on datasets. Our dataset's target is Korean cattle shed. It means that our method is utilized for surveillance system in Korean cattle shed.

Published in:
Machine Learning and Applications (ICMLA), 2012 11th International Conference on  (Volume:2 )

Date of Conference: 12-15 Dec. 2012

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