Presentation 2008-10-24
Robust Background Subtraction based on Statistic Reach Feature
Kenji IWATA, Yutaka SATOH, Ryushi OZAKI, Katsuhiko SAKAUE,
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Abstract(in English) A statistic reach feature (SR feature) is defined as two arbitrary points that keep the sign of increase and decrease of the brightness in the image sequence. The SR feature realizes robust background subtraction for illumination changes and some noises. This paper describes a definition of the SR feature, and the application to background subtraction. In addition, we propose the two pass method that revalues the SR feature based on the background subtraction result. False positive appears when the foreground is contained in the reach point. The two pass method can improve by excluding the reach point that is the foreground. The experimental results show that the proposal method can segment the background with stability even if the image sequence contains illumination changes.
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Keyword(in English) background subtraction / statistic reach feature / SR feature / ISC / RRC / feature extraction
Paper # PRMU2008-105
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Conference Information
Committee PRMU
Conference Date 2008/10/16(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) Robust Background Subtraction based on Statistic Reach Feature
Sub Title (in English)
Keyword(1) background subtraction
Keyword(2) statistic reach feature
Keyword(3) SR feature
Keyword(4) ISC
Keyword(5) RRC
Keyword(6) feature extraction
1st Author's Name Kenji IWATA
1st Author's Affiliation Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)()
2nd Author's Name Yutaka SATOH
2nd Author's Affiliation Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Ryushi OZAKI
3rd Author's Affiliation Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Katsuhiko SAKAUE
4th Author's Affiliation Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
Date 2008-10-24
Paper # PRMU2008-105
Volume (vol) vol.108
Number (no) 263
Page pp.pp.-
#Pages 6
Date of Issue