Background model based on statistical local difference pattern

Satoshi Yoshinaga, Atsushi Shimada, Hajime Nagahara, Rin Ichiro Taniguchi

研究成果: Chapter in Book/Report/Conference proceeding › Conference contribution

14 被引用数 (Scopus)

抄録

We present a robust background model for object detection and report its evaluation results using the database of Background Models Challenge (BMC). Our background model is based on a statistical local feature. In particular, we use an illumination invariant local feature and describe its distribution by using a statistical framework. Thanks to the effectiveness of the local feature and the statistical framework, our method can adapt to both illumination and dynamic background changes. Experimental results, which are done thanks to the database of BMC, show that our method can detect foreground objects robustly against background changes.

本文言語英語
ホスト出版物のタイトルComputer Vision - ACCV 2012 International Workshops, Revised Selected Papers
ページ327-332
ページ数6
版PART 1
DOI
出版ステータス出版済み - 4 15 2013
イベント11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, 大韓民国
継続期間: 11 5 2012 → 11 9 2012

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
巻7728 LNCS
ISSN（印刷版）0302-9743
ISSN（電子版）1611-3349

その他

その他11th Asian Conference on Computer Vision, ACCV 2012
Country大韓民国
CityDaejeon
Period11/5/12 → 11/9/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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