We used frame difference and region growing method to divide target and get main color information.
对于待跟踪的运动目标，采用三帧差和区域增长法分割目标并得到主颜色信息。
Background subtraction and frame difference method are commonly used moving objects detection methods.
背景差法和帧间差法都是常用的运动目标检测方法。
First, the frame difference of two adjacent frames is applied to perform the predetection of cut and gradual transition.
首先，利用相邻两帧之间的帧间差异值对突变和渐变进行预检；
The result shows this algorithm is better than frame difference method, background difference method and road mark method.
结果显示该算法明显优于帧差法、背景差法、路面标记法。
A noise-filtering algorithm of real traffic video images based on mathematical morphology and frame difference was proposed.
结合实际拍摄的动态交通图像，提出了基于数学形态学和帧差法的交通图像噪声滤除方法。
Considering the characteristics of infrared image, the frame difference algorithm is simple and easy to be realized by hardware.
传统的帧间差分法算法简单、便于硬件实现，但在信噪比较低时抗噪性能较差。
X axis and Y axis electric moving stages are driven to track object based on its position which is calculated by improved 3 frame difference algorithm.
通过改进的三帧差分法计算运动目标的位置，控制X、Y轴电动位移台跟踪目标。
The moving target detection method based on the three frame difference and background difference method was proposed, which is simply and fast to realize.
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。
It combines organically the edge detection method and the improved frame difference method to effectively detect the moving and stagnant vehicles simultaneously.
将边缘检测法与改进帧差法进行有机结合，有效地实现了运动和静止车辆的同时检测。
This method bears not only the characteristic "exact to survey object" of background subtraction but also the characteristic "robust to lighting variations" of frame difference.
该方法把背景差法的“准确监测物体”与帧间差法的“对光线具有较强的适应性”结合起来。
In the process of object detection, the inter-frame difference object detection method and symmetrical inter-frame difference object detection method based on gray were used respectively.
在目标检测过程中，分别利用单目视觉下基于灰度的连续帧间差分法和对称差分法实现了目标检测。
Firstly, a background processing algorithm based on inter-frame difference and background modeling is proposed, which has achieved effects of background suppression and target enhancement.
首先，针对复杂多变的背景，提出了基于帧间差分和背景建模的背景处理算法，达到了抑制背景、增强目标的效果。
The algorithm uses a difference image histogram of four directions to measure the influence of spatial correlation, and temporal correlation is measured by the histogram of frame difference.
该算法利用视频序列中各帧的四方向差分直方图度量隐写对空间相关性的影响，同时利用相邻帧帧间差分的直方图度量隐写对时间相关性的影响。
The discontinuous frame difference optical flow field algorithm can be composed of the parallel structure system, which can detect different kinds of moving objects with different velocities.
采用不同间隔的序列差分构成并行识别系统结构，使整个系统能够探测各种不同速度的运动目标。
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.
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。
Depth study of two commonly used methods of target detection: Frame difference and Background difference. Separately described the basic principles, advantages and disadvantages.
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。
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。
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.
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 continuity of gray-value of targets in inter-frame, the frame-difference method is proposed to detect the moving objects in this paper.
考虑到视频序列图像具有帧间连续性，本文通过帧间差分的方法检测运动车辆。
Firstly build a background image in the complex background with a moving object and obtain initial object contour from the current image by frame-difference.
首先利用自适应的背景提取算法从带有运动目标的复杂背景中构建背景图，并提取出运动目标轮廓。
Firstly build a background image in the complex background with a moving object and obtain initial object contour from the current image by frame-difference.
首先利用自适应的背景提取算法从带有运动目标的复杂背景中构建背景图，并提取出运动目标轮廓。
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