Background model based on intensity change similarity among pixels

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

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

18 被引用数 (Scopus)

抄録

Object detection is an important task for computer vision applications. Many researchers have proposed a lot of methods to detect the objects through the background modeling. Most of previous approaches model the background independently for each pixel and detect foreground objects based on it. Then, it is difficult for the background model to deal with illumination changes, which cause significant intensity changes as in the case that a foreground object appears. To solve this problem, in this paper, we propose a new background model considering the similarity in the intensity changes among pixels. In particular, we classify all the pixels into several clusters based on the similarity of their intensity changes. Then, focusing on each cluster, we can easily identify whether the significant intensity changes are caused by foreground objects or illumination changes. This is because, if the illumination changes, most of the pixels belonging to the same cluster exhibit the similar intensity changes.

本文言語英語
ホスト出版物のタイトルFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
ページ276-280
ページ数5
DOI
出版ステータス出版済み - 2013
イベント19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013 - Incheon, 大韓民国
継続期間: 1 30 20132 1 2013

出版物シリーズ

名前FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision

その他

その他19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
国/地域大韓民国
CityIncheon
Period1/30/132/1/13

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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