Presentation 2001/5/11
Detection of Moving Objects By Using Edge Vector and Edge Reliability
Takahiro Sugiyama, Kazuhisa Watanabe, Hiromasa Nakatani,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a method for detecting moving objects by using edge vector and edge reliability. Regions of moving objects can be detected by utilizing a background image taken by a fixed camera. However it is difficult to detect them correctly in scene when brightness is changing. For this problem we propose an edge selection process and use edge detector with edge vector and edge reliability. Edge reliability is a measure of noise influences and it is invariance for brightness changing. Edge selection process can detect moving edges by using edge similarity calculated from edge vector and edge reliablity, comparing a background image and an input image. Experiments show that our method can detect moving edge points stably in flickeringly scenes.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) detection of moving objects / edge reliability / edge vector / edge selection / edge similarity
Paper # PRMU2001-16
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Conference Information
Committee PRMU
Conference Date 2001/5/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Moving Objects By Using Edge Vector and Edge Reliability
Sub Title (in English)
Keyword(1) detection of moving objects
Keyword(2) edge reliability
Keyword(3) edge vector
Keyword(4) edge selection
Keyword(5) edge similarity
1st Author's Name Takahiro Sugiyama
1st Author's Affiliation Department of Computer Science, Faculty of Information, Shizuoka University()
2nd Author's Name Kazuhisa Watanabe
2nd Author's Affiliation Graduate School of Science and Engineering, Shizuoka University
3rd Author's Name Hiromasa Nakatani
3rd Author's Affiliation Department of Computer Science, Faculty of Information, Shizuoka University:Graduate School of Science and Engineering, Shizuoka University
Date 2001/5/11
Paper # PRMU2001-16
Volume (vol) vol.101
Number (no) 58
Page pp.pp.-
#Pages 6
Date of Issue