A real time 1080P 30FPS Gaussian Mixture Modeling design for background subtraction and object extraction

Shuo Wen Hsu*, Tian-Sheuan Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The Gaussian Mixture Modeling (GMM) algorithm with connected component labeling as object extraction provide robust background subtraction but suffer from complexity, and large buffer or high bandwidth due to the frame level operations. For real time application needs, this paper proposed a block based GMM design for background subtraction with message passing between blocks to avoid performance drop. The corresponding parallel hardware design can reach real time 1080P@30fps and cost 164.82K gate-counts at 125MHz with 90nm process.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-186
Number of pages2
ISBN (Electronic)9781479938308
DOIs
StatePublished - 18 Sep 2014
Event1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, Taiwan
Duration: 26 May 201428 May 2014

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
CountryTaiwan
CityTaipei
Period26/05/1428/05/14

Keywords

  • Architecture
  • Background Subtraction
  • Gaussian Mixture Modeling

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