Title :
Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System
Author :
Jieun Kim ; Woo Young Jung
Author_Institution :
Dept. of IT Convergence, Daegu Gyeongbuk Inst. of Sci. & Technol.(DGIST), Daegu, South Korea
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.
Keywords :
computer vision; estimation theory; farming; fuzzy set theory; pattern clustering; video surveillance; Korean cattle shed; clustering estimation method; fuzzy c-means clustering; object localization; surveillance camera system; surveillance system; vision based ill cattle localization system; Cameras; Clustering algorithms; Clustering methods; Cows; Object detection; Robustness; Surveillance; animal localization; cattle localization; cattle shed surveilance system;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-4651-1
DOI :
10.1109/ICMLA.2012.174
