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Cluster analysis using improved fuzzy c-means clustering for object localization: Vision based ill cattle localization system

Title
Cluster analysis using improved fuzzy c-means clustering for object localization: Vision based ill cattle localization system
Authors
Kim, JieunJung, Woo Young
DGIST Authors
Kim, Jieun; Jung, Woo Young
Issue Date
2012
Citation
11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012, 2, 271-274
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
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. © 2012 IEEE.
URI
http://hdl.handle.net/20.500.11750/3869
DOI
10.1109/ICMLA.2012.174
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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