Block-based codebook model with oriented-gradient feature for real-time foreground detection

Jiu Xu*, Ning Jiang, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

In this paper, a novel approach is proposed to achieve the foreground objects detection in video surveillance system using codebook method. The block-based background model upgrades the pixel-based codebook model to block level which can utilize the dependency and find relationships between neighbouring pixels, thus improving the processing speed and reducing memory during model construction and foreground detection. Moreover, by adding the orientation and magnitude of the block gradient, the codebook model contains not only information of color, but also the texture feature. The texture information can further reduce noises and refine more entire foreground regions. Experimental results prove that our method has better performance compared with the standard codebook and some other former algorithms.

本文言語English
ホスト出版物のタイトルMMSP 2011 - IEEE International Workshop on Multimedia Signal Processing
DOI
出版ステータスPublished - 2011
イベント3rd IEEE International Workshop on Multimedia Signal Processing, MMSP 2011 - Hangzhou
継続期間: 2011 11 172011 11 19

Other

Other3rd IEEE International Workshop on Multimedia Signal Processing, MMSP 2011
CityHangzhou
Period11/11/1711/11/19

ASJC Scopus subject areas

  • 信号処理

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