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Videoobjectdetectionbasedonbackgroundsubtraction.r
- 利用图像序列的灰度统计特性来提取背景图像，并利用Surendra背景更新算法根据每帧图像对背景进行更新已获得可靠的背景．然后，将当前帧与背景作差，并对差值图像进行适当处理，这样运动目标就能够被精确地提取出来． -Using statistical properties of image sequences to extract the gray background image and background updating algorithm based on the use Surend
backgroundsubstraction
- 首先通过建立一个可靠的背景更新模型，然后在视频序列中取一帧图像与背景做差得到完整可靠的运动目标图像-This program is used to detect the moving targets by image substraction ,
pf_colortracker
- 本例是一个采用帧差法的运动跟踪代码，其对背景不变的单目标有较好的处理-This example is a frame difference method using the movement of the tracking code, change the background of its single objective better deal
detection
- 对两种目标检测方法，背景差和帧差法进行了实现和比较。-The two target detection, background subtraction and frame difference was realized and compared.
VideoProj
- 此工程是运动物体前景分割检测算法工程，有较好的检测效果,在MD642视频处理平台上运行。其背景更新采用了基于直方图更新统计的算法，处理过程在tskProcss线程中进行，其函数定义在VidoeProcess.C文件中。处理包括，场调整，屏幕区域划分，帧下采样及缓存，背景获取，帧差分，获取阈值矩阵，分割，形态学滤波，以及各种屏幕区域的显示等。-This project is the forground segmentation for moving object. The background u
sanzhenchafa
- 三帧差法，用于分离背景图片及分析车流量的变化-Three difference method for the separation and analysis of the background image changes in traffic
dspmotion
- 基于背景差分法和帧间差分法的视频运动检测-Based on background difference and frame difference method of video motion detection
background
- 采用帧间差分法提取背景 一个是通过采用帧间差分法从多帧连续图像提取背景 另一个是通过背景提取运动物体 -Extracted by the background of a frame difference is the frame difference method by using a continuous multi-frame images extracted from the background of the other is the extraction of moving o
background3
- 利用帧差后的二值图像序列信息建立背景模型。-Use the binary images of frame difference information building background mode.
7
- 帧间差分法 基于背景重构的目标检测，内附检测视频序列 -Inter-frame difference method based on background reconstruction target detection, detection of video sequences containing
mask
- 就如何从视频序列中分割出具有语义意义的运动对象 ,本文提出了一种自动的基于背景的运动对象分割算法 ,利用颜色、形状和灰度等特征对第一帧图像进行初步分割 ,然后根据帧间运动信息构造背景图像 ,最后以背景图像和帧差图像作为参考图像 ,对同一场景中的所有视频帧进行快速可靠的分割 。-On how to split out from the video sequences of moving objects with semantic meaning, this paper presents a con
MovingDetect
- 利用帧差法从背景图像中提前前景图像的一种经典算法-Frame-difference method using the background image from the foreground image in advance of a classical algorithm
jeportup3r
- 传统的背景帧差法采用的是背景图像与当前帧图像的灰度差值来实现。但是当车辆与背景的灰度非常接近时，容易-Three difference method to quickly and effectively from the background and detect moving targets, the effect is better than a continuous two differential faster. Traditional background frame differen
detect
- 使用背景差分法，采用了高斯滤波法对其进行平滑，然后将视频的第一帧作为背景，其次，对去噪后的图像做帧与背景间的差分运算，再利用阈值分割，将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential e
recognition-algorithm-design
- 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
Oddiff2bgp
- 结合Opencv工具，在Visual C++上，利用背景差算法实现运动动目标检测，并结合三帧差分算法对检测结果进行判断和报警。已通过编译和运行。 -Combination of the the Opencv tools in Visual C++ background subtraction algorithm to achieve the movement moving target detection, combined with three differential algorithm
DM642_LOOP1
- 帧差法进行视频监控，第一帧捕捉背景，第二帧捕捉目标，最后进行区域监控。-Frame difference method for video surveillance, first frame capture background, second frame capture target, the last area monitoring.
capture
- 帧差法进行视频监控，第一帧捕捉背景，第二帧捕捉目标，最后进行区域监控。-Frame difference method for video surveillance, first frame capture background, second frame capture target, the last area monitoring.
zhenchafa
- 利用二帧帧差法来实现视频图像中前景与背景的分离-Two frame difference method to achieve the separation of the foreground and background in the video images