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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