Proceedings of the Fuzzy System Symposium
23rd Fuzzy System Symposium
Session ID : TB2-1
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Identification of the observation object based on clustering of extracted dynamic-pattern
*Yuki WakudaMasahiro KojimaKosuke SekiyamaToshio Fukuda
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Abstract
This research aims at developing a system to specify a phenomenon occured in observable space by the system with multiple-sensors. In this paper, observation based on image processing is used for feature-points are extracted. The proposed system performs pattern-matching with the pattern of the known observation-subject assumed from the dynamic pattern of the feature-points. Based on the result, it can be considered among the dynamic patterns of details that is the same observation subject is clustered, and system can determine known-subject based on DP matching for feature patterns in principal component space.
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© 2007 Japan Society for Fuzzy Theory and Intelligent Informatics
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