ir background estimation 红外背景估计
background estimation and composing 背景估计与合成
background motion estimation 背景运动估计
Background motion model parameters estimation 背景运动参数估计
complex background noise estimation 复杂背景噪声估计
background clutters estimation and removing 背景杂波估计与抑制
background noise variance estimation 背景噪声方差估计
The common way for vehicle detection is the background difference method, but its performance must be ensured by the stability of video images, and the robustness of background estimation.
车辆的检测一般采用背景差分方法,该方法的性能受到视频图像稳定性和背景估计鲁棒性的影响,需要有快速有效的图像预处理方法、背景建模方法。
参考来源 - 交通视频监控中的车辆检测与分割方法研究This paper propose an algorithm of background estimation which is combing statistic histogram and average method.
本文提出了一种将统计直方图和多帧平均法相结合的背景提取算法。
参考来源 - 视频检测系统中的背景检测及更新算法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
A background estimation technique was developed based on sequential image time stability for slowly changing background in real-time image processing.
针对背景的缓变特性和实时图像处理的需求,该文提出了一种基于序列图像时间稳定性特征的背景估计技术。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
利用随机变量的各阶矩的性质,构造了一种基于高阶统计量的背景估计方法,并将其应用于静态背景下的运动目标检测。
On the basis of the characteristics of the IR images, an algorithm of background estimation based on grayscale morphology with multiple structuring elements is presented.
该文在分析红外图像统计特征的基础上,提出了一种基于多结构元素灰度形态学的红外背景估计算法。
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