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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
VC
- 利用VC++平台编程，将三帧差法和背景减除法相结合，进行运动目标检测，其中背景减除法运用高斯背景建模-Platform programming VC++ three difference method and background subtraction combined, moving target detection, background subtraction method using Gaussian background modeling
new目标检测的程序
- 混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频-The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video
background
- 基于opencv和VC++的目标识别代码，帧差法和背景差法同时运用-While the use of target identification code based on opencv and VC++ of the frame difference method and background subtraction
dongtaigz12_3
- 汽车车牌识别，帧差法背景提取，图像识别 视频；目标检测；背景重建；背景更新；背景差法-Video Target Detection Background Reconstruction Background Update Background Subtraction
image2
- 帧差法提取背景的matlab程序，可以很好的提取图像的背景-Frame difference method to extract the background matlab program, you can extract image background
beijing03
- 背景提取，迭代法(Surendra算法）；即采用帧差的方法，一帧图像减去前一帧图像，即可以对比得到图像中变化（移动）的区域，扣除移动的区域，即得到不动的背景。采用多帧图像迭代的方法，得到更加准确的背景。-Background extraction, iterative method (Surendra algorithm) frame difference method is used, an image by subtracting the previous frame, which can
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
frame-difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用Mat类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using Mat type.
difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
frame-difference(IplImage
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。加入空的工程即可运行。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.