该方法利用背景差分法与粒子滤波器算法相结合。
This algorithm combines background difference with the particle filter.
该方法利用背景差分法与粒子滤波器算法相结合。
Then an algorithm based on disparity background difference was employed to detect the foreground region.
重点研究了三帧差分法和混合高斯模型背景差分法。
The three Frames subtraction and the background subtraction of Gaussian mixture model are researched.
在应用两种彩色空间模型的基础上，用背景差分法对阴影进行了检测。
On the basis of two kinds of image models in color space, shadows of objects have been detected by background subtraction approach.
对基于视频的车辆检测中的背景差分法进行了研究，提出了一种新的背景模型构建算法。
Based on the research on the background subtraction used to detect vehicles on video sequence, a new algorithm for background model building is presented.
提出了利用三帧差分法和背景差分法对运动目标进行检测的方法，该运动检测的方法实现比较简单、速度快。
The moving target detection method based on the three frame difference and background difference method was proposed, which is simply and fast to realize.
深入研究了常用的两种目标检测方法：帧间差分法和背景差分法，分别阐述了这两种检测方法的基本原理和优缺点。
Depth study of two commonly used methods of target detection: Frame difference and Background difference. Separately described the basic principles, advantages and disadvantages.
背景差分法是一种重要的运动目标分割方法，但是其不仅对背景质量的要求较高，且易将运动阴影误检测为前景目标。
The background difference is important for segmenting mobile objects. But this method highly depends on background quality and easily regards moving shadows as objects.
在对视频监控中运动目标检测识别常用算法进行研究的基础上，本文提出了一种新的基于两帧差分法和背景差分法相结合的运动目标检测方法。
According to the study of main motion detection and moving objects extraction methods, a new method combining frame-difference and background-difference was put forward.
本文提出了一种基于背景相减法和对称差分法来进行运动目标检测的方法。
A novel moving object detection based on adaptive background subtraction and symmetrical differencing is presented in this paper.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
实验表明，平均背景法的稳定性要优于帧间差分法。
The experiment shows that the stability of average background method is stronger than frame differential method.
介绍了在视觉监控领域经常用到的几种运动人体检测算法，如背景减除法、帧差法、对称差分法、基于RGB图像的运动检测法。
The paper introduces several methods for vision-surveillance using background subtraction, frame-difference method, symmetrical differencing and a method based on RGB image.
介绍了在视觉监控领域经常用到的几种运动人体检测算法，如背景减除法、帧差法、对称差分法、基于RGB图像的运动检测法。
The paper introduces several methods for vision-surveillance using background subtraction, frame-difference method, symmetrical differencing and a method based on RGB image.
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