Presentation 2007-10-25
Foreground Segmentation Using Spatio-Temporal Processing : A Study on TOPS DSP Architecture Driven Algorithm for Foreground Segmentation
Hiroaki TEZUKA, Tomoyuki SUZUKI, Takao NISHITANI,
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Abstract(in English) This paper describes a robust foreground segmentation algorithm in HDTV video sequence. The present algorithm is based on blockwise Gaussian mixture models and features which are extracted in transform domain. By using spatial domain processing and a new transform method, proposed algorithm can efficiently remove false positives and separate foreground region while reducing computational complexity. Experimental results show the effectiveness of proposed method in HDTV video sequence.
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Keyword(in English) foreground segmentation / variable block size / spatial frequency features / gaussian mixture models
Paper # SIP2007-120,ICD2007-109,IE2007-79
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Conference Information
Committee SIP
Conference Date 2007/10/18(1days)
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Paper Information
Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Foreground Segmentation Using Spatio-Temporal Processing : A Study on TOPS DSP Architecture Driven Algorithm for Foreground Segmentation
Sub Title (in English)
Keyword(1) foreground segmentation
Keyword(2) variable block size
Keyword(3) spatial frequency features
Keyword(4) gaussian mixture models
1st Author's Name Hiroaki TEZUKA
1st Author's Affiliation Graduate School of System Design, Tokyo Metropolitan University()
2nd Author's Name Tomoyuki SUZUKI
2nd Author's Affiliation Dept. of Electronics and Information Eng., Tokyo Metropolitan University
3rd Author's Name Takao NISHITANI
3rd Author's Affiliation Graduate School of System Design, Tokyo Metropolitan University:Dept. of Electronics and Information Eng., Tokyo Metropolitan University
Date 2007-10-25
Paper # SIP2007-120,ICD2007-109,IE2007-79
Volume (vol) vol.107
Number (no) 285
Page pp.pp.-
#Pages 6
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