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Case-based background modeling: associative background database towards low-cost and high-performance change detection

机译：基于案例的背景建模：面向低成本和高性能变更检测的关联背景数据库

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摘要

Background modeling and subtraction is an essential task in video surveillance applications. Many researchers have discussed about an improvement of performance of a background model, and a reduction of memory usage or computational cost. To adapt to background changes, a background model has been enhanced by introducing various information including a spatial consistency, a temporal tendency, etc. with a large memory allocation. Meanwhile, an approach to reduce a memory cost cannot provide better accuracy of a background subtraction. To tackle the trade-off problem, this paper proposes a novel framework named "case-based background modeling". The characteristics of the proposed method are (1) a background model is created, or removed when necessary, (2) case-by-case model sharing by some of the pixels, (3) pixel features are divided into two groups, one for model selection and the other for modeling. These approaches realize a low-cost and high accurate background model. The memory usage and the computational cost could be reduced by half of a traditional method and the accuracy was superior to the method.
机译：背景建模和相减是视频监视应用程序中的基本任务。许多研究人员讨论了背景模型性能的提高以及内存使用量或计算成本的降低。为了适应背景变化，通过引入具有大的存储器分配的各种信息（包括空间一致性，时间趋势等）来增强背景模型。同时，减少存储器成本的方法不能提供更好的背景扣除精度。为了解决权衡问题，本文提出了一个新颖的框架，称为“基于案例的背景建模”。所提出方法的特征是（1）建立或在必要时删除背景模型；（2）某些像素逐个案例共享模型；（3）像素特征分为两组，一组用于模型选择和其他建模。这些方法实现了低成本和高精度的背景模型。与传统方法相比，可以减少一半的内存使用量和计算成本，并且准确性优于该方法。

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  • 来源
    《Machine Vision and Applications》 |2014年第5期|1121-1131|共11页
  • 作者

    Atsushi Shimada; Yosuke Nonaka; Hajime Nagahara; Rin-ichiro Taniguchi;

  • 作者单位

    Department of Advanced Information Technology, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Advanced Information Technology, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Advanced Information Technology, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

    Department of Advanced Information Technology, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Background modeling; Change detection; Background database;

    机译：背景建模;变更检测;后台数据库;

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