1) Clutter extraction in the background window
背景杂波提取
2) background extraction
背景提取
1.
Video background extraction based on textural and statistical features;
基于纹理及统计特征的视频背景提取
2.
An Algorithm of Automatic Background Extraction of Target Based on Fast Motion;
一种快速运动目标的背景提取算法
3.
An Algorithm of Background Extraction Based on Statistics of Histogram Combining with Multi-Frame Average;
一种基于直方图统计与多帧平均混合的背景提取算法
3) background subtraction
背景提取
1.
A common approach is used to perform background subtraction,so it is important to obtain the background accurately.
基于视频的道路运动目标检测是智能交通系统的基础部分,目前最常用也最有效的运动目标检测方法是背景差分算法,其中背景提取是背景差分算法的关键一环。
2.
A fast background subtraction algorithm based on Intel SIMD technology is presented in this paper.
论文提出一种基于Intel奔腾SIMD指令的快速背景提取方法。
3.
This paper presents a real-time background subtraction and moving shadow detection method based on Unscented Kalman Filter(UKF),and constructs the whole frame for moving object detection.
提出了基于无偏卡尔曼滤波器(UKF)的背景提取和阴影检测方法,构建整体的运动物体检测框架。
4) background clutter
背景杂波
1.
New background clutter rejection algorithm for dim-point target detection;
弱点目标检测中的背景杂波抑制新方法
2.
Background clutter had its impact on the target signal only through signal processing algorithm.
基于杂波仅通过信号处理算法对目标信号产生影响的认识,给出了杂波影响下的系统探测性能模型,并与不考虑杂波时的系统探测性能模型进行对比,指出背景杂波导致的目标检测难度远远大于不考虑杂波的情况,系统的探测性能是目标、背景间均值、方差差异的复杂函数。
3.
Based on the classic probability of edge(POE) metrics for quantifying background clutter,and the up-to-date research findings in human visual perception,a new method for modifying NVESD s classic human target acquisition performance wa.
背景杂波严重干扰到观察者的目标获取性能,当前的性能模型在背景杂波的表征方面存在诸多不足。
5) cloud clutter background
云杂波背景
1.
First the images of cloud clutter background with small targets are inhabited with multi-structural opening operation and then the global thresholding method is applied to convert the images into binary ones for the identification of small target.
用多结构形态开运算对含有小目标的云杂波背景图像进行背景抑制,然后利用全局阈值分割方法将背景抑制后的图像转化为二值图像,提取图像中的小目标。
6) background extraction model
背景提取模型
补充资料：3K背景辐射
见微波背景辐射。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条