Adaptive background modeling for paused object regions

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

Background modeling has been widely researched to detect moving objects from image sequences. Most approaches have a falsenegative problem caused by a stopped object. When a moving object stops in an observing scene, it will be gradually trained as background since the observed pixel value is directly used for updating the background model. In this paper, we propose 1) a method to inhibit background training, and 2) a method to update an original background region occluded by stopped object. We have used probabilistic approach and predictive approach of background model to solve these problems. The great contribution of this paper is that we can keep paused objects from being trained.

本文言語英語
ホスト出版物のタイトルComputer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers
ページ12-22
ページ数11
PART1
DOI
出版ステータス出版済み - 2011
イベントInternational Workshops on Computer Vision, ACCV 2010 - Queenstown, ニュージ―ランド
継続期間: 11 8 201011 9 2010

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PART1
6468 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他International Workshops on Computer Vision, ACCV 2010
国/地域ニュージ―ランド
CityQueenstown
Period11/8/1011/9/10

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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