搜索资源列表
codebook_model
- 介绍《学习Opencv》里面介绍的背景建模模型-码书,这篇论文就是这个数学模型的创始人写的-Study the Opencv " which introduces the background modeling model- code book, this paper is the founder of the mathematical model to write
bddiff
- 背景建模 背景差法 实现对运动物体的检测-Background modeling, background difference method for the detection of moving objects
mixGBm
- 混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
1-codebook-BGS-method
- 这个程序是关于复杂的运动物体的情况下背景建模的问题-codebook BGS method adapt from book of learning opencv by mikewolf
Survey-of-pedestrian-detection-
- 分析行人移动目标检测的相关外文文献,实现了基于背景建模的相关方法-Survey of pedestrian detection for advanced driver assistance systems
An-improved--background-model-
- 在移动目标检测中的,在高斯背景建模的基础上滤除阴影OpenCV-An improved adaptive background mixture model for real-time tracking with shadow detection(在高斯背景建模的基础上滤除阴影OpenCV
qwe
- opencv中的一个小程序,该程序的作用是对视频或摄像头得到的视频进行高斯背景建模,也能得到前景的图像。-opencv in a small program, the role of the program is to get the video to the video or camera Gaussian background modeling, foreground image.
GMM
- 利用混合高斯进行背景建模,实现运动目标检测-Gaussian mixture background modeling, moving target detection
Surendra211
- 实现快速背景建模,使用的是SURENDRA方法-Fast background modeling, SURENDRA method
gmm
- 混合高斯背景建模C++源程序 在进行前景检测前,先对背景进行训练,对图像中每个背景采用一个混合高斯模型进行模拟,每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simu
picture--chasing
- 背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联,输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2。 4.计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件后停止。
mixture_of_gaussians
- 基于混合高斯背景建模的背景差分视频目标检测方法。matlab代码-Video target detection method based on Gaussian mixture background modeling background difference. matlab code
Gauss
- 基于OpenCV的混合高斯背景建模源代码-Gaussian mixture background modeling based on OpenCV source code
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
program1
- 动态背景建模的程序,可以检测出动态物体,实时更新背景-Dynamic background modeling program, can detect the dynamic objects, updated in real time background
gaosi
- 基于混合高斯背景建模的方法用于检测场景中的运动车辆,采用Visual C++和OpenCV实现,程序有详细注释,并且附带测试视频,希望对大家有帮助。-The movement of vehicles, based on Gaussian mixture background modeling method for detecting the scene to adopt the Visual C++ and OpenCV realization, procedures detailed note
singlegaussian
- 在Microsoft Visual Studio 2008平台下基于opencv的单高斯背景建模-In Microsoft Visual Studio 2008 platform, single Gaussian background modeling based on the opencv
mixgaussian
- 在Microsoft Visual Studio 2008平台下基于opencv的mixgaussian背景建模-Microsoft Visual Studio 2008 platform mixguassian background modeling based opencv
codebook
- 在Microsoft Visual Studio 2008平台下基于opencv的codebook背景建模-Microsoft Visual Studio 2008 platform opencv based codebook background modeling
ViBe_background
- ViBe背景建模国外经典算法,最近的建模方法-ViBe background modeling foreign classic algorithm recent modeling method