Presentation	1997/6/26 Extracting Moving Object with Fuzzy Reasoning Tetsuya Arai, Miki Haseyama, Hideo Kitajima,
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Abstract(in English)	This paper proposes a method of extracting a moving object with the fuzzy reasoning. After segmentation of the frame, this proposed method extracts a moving object by merging regions which is contained in an object. The rule to merge regions uses the fuzzy reasoning based on relations which are defined by region's move and location. Moreover, this paper introduces the recursive fuzzy reasoning to extract a moving object with hight accuracy.
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Keyword(in English)	k-mean clustering / fuzzy reasoning / recursive fuzzy reasoning
Paper #	CAS97-5
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Conference Information
Committee	VLD
Conference Date	1997/6/26(1days)
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Paper Information
Registration To	VLSI Design Technologies (VLD)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Extracting Moving Object with Fuzzy Reasoning
Sub Title (in English)
Keyword(1)	k-mean clustering
Keyword(2)	fuzzy reasoning
Keyword(3)	recursive fuzzy reasoning
1st Author's Name	Tetsuya Arai
1st Author's Affiliation	Faculty of Engineering, Hokkaido University()
2nd Author's Name	Miki Haseyama
2nd Author's Affiliation	Faculty of Engineering, Hokkaido University
3rd Author's Name	Hideo Kitajima
3rd Author's Affiliation	Faculty of Engineering, Hokkaido University
Date	1997/6/26
Paper #	CAS97-5
Volume (vol)	vol.97
Number (no)	138
Page	pp.pp.-
#Pages	6
Date of Issue