...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Machine Vision and Applications >Detection of foreground in dynamic scene via two-step background subtraction
【24h】

Detection of foreground in dynamic scene via two-step background subtraction

机译：通过两步背景减法检测动态场景中的前景

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Various computer vision applications such as video surveillance and gait analysis have to perform human detection. This is usually done via background modeling and subtraction. It is a challenging problem when the image sequence captures the human activities in a dynamic scene. This paper presents a method for foreground detection via a two-step background subtraction. Background frame is first generated from the initial image frames of the image sequence and continuously updated based on the background subtraction results. The background is modeled as non-overlapping blocks of background frame pixel colors. In the first step of background subtraction, the current image frame is compared with the background model via a similarity measure. The potential foregrounds are separated from the static background and most of the dynamic background pixels. In the second step, if a potential foreground is sufficiently large, the enclosing region is compared with the background model again to obtain arefined shape of the foreground. We compare our method with various existing background subtraction methods using image sequences containing dynamic background elements such as trees and water. We show through the quantitative measures the superiority of our method.
机译：各种计算机视觉应用程序（例如视频监视和步态分析）必须执行人工检测。这通常是通过背景建模和减法来完成的。当图像序列捕获动态场景中的人类活动时，这是一个具有挑战性的问题。本文提出了一种通过两步背景减法进行前景检测的方法。首先从图像序列的初始图像帧中生成背景帧，然后根据背景减除结果对其进行连续更新。背景建模为背景帧像素颜色的不重叠块。在背景扣除的第一步中，通过相似性度量将当前图像帧与背景模型进行比较。潜在前景与静态背景和大多数动态背景像素分开。在第二步中，如果潜在前景足够大，则再次将包围区域与背景模型进行比较，以获得前景的精细形状。我们使用包含动态背景元素（例如树木和水）的图像序列，将我们的方法与现有的各种背景扣除方法进行了比较。我们通过定量方法证明了我们方法的优越性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号