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

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Digest of Technical Papers - IEEE International Conference on Consumer Electronics
發行者Institute of Electrical and Electronics Engineers Inc.
頁面185-186
頁數2
ISBN(電子)9781479938308
DOIs
出版狀態Published - 18 九月 2014
事件1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, Taiwan
持續時間: 26 五月 201428 五月 2014

出版系列

名字Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(列印)0747-668X

Conference

Conference1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
國家Taiwan
城市Taipei
期間26/05/1428/05/14

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  • 引用此

    Hsu, S. W., & Chang, T-S. (2014). A real time 1080P 30FPS Gaussian Mixture Modeling design for background subtraction and object extraction. 於 Digest of Technical Papers - IEEE International Conference on Consumer Electronics (頁 185-186). [6904050] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2014.6904050