Background initialization based on bidirectional analysis and consensus voting

研究成果: 著書/レポートタイプへの貢献会議での発言

6 引用 (Scopus)

抜粋

Background modeling and subtraction are essential to video surveillance applications. There are two main issues related to background modeling: how to initialize the background model, and how to update the model based on observations. In this paper, we consider the first issue with the aim of generating a clear background image that does not contain foreground objects or noise. We used a bidirectional analysis and consensus voting strategy to achieve this goal. We demonstrated the effectiveness of our technique using open access datasets.

元の言語英語
ホスト出版物のタイトル2016 23rd International Conference on Pattern Recognition, ICPR 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ126-131
ページ数6
ISBN(電子版)9781509048472
DOI
出版物ステータス出版済み - 1 1 2016
イベント23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, メキシコ
継続期間: 12 4 201612 8 2016

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
0
ISSN(印刷物)1051-4651

その他

その他23rd International Conference on Pattern Recognition, ICPR 2016
メキシコ
Cancun
期間12/4/1612/8/16

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

これを引用

Minematsu, T., Shimada, A., & Taniguchi, R. I. (2016). Background initialization based on bidirectional analysis and consensus voting. : 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 126-131). [7899620] (Proceedings - International Conference on Pattern Recognition; 巻数 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2016.7899620