搜索资源列表
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
beijin
- 背景建模，基于改进混合高斯模型的背景建模-Background modeling, background modeling based on the improved Gaussian mixture model
Gauss
- 利用高斯背景建模，进行运动目标的前景检测。-using Gaussian background model to detect the moving targets。
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
gaussian_backgroun
- 实现了高斯背景建模的方法来对运动目标的检测-object detection using Gaussian background modeling
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
GaussBGModel
- 用opencv实现的运动目标检测算法，程序用的是高斯背景建模法，测试用的是夜间车流量的视频，光线变化不大，效果不错-Moving target detection algorithm, with opencv program with the Gaussian background modeling method, the test is the video of night traffic light changes, the effect is good
gaosi1
- 实现人摔倒检测，其中利用了高斯背景建模，经过编译成功运行，希望对大家有点帮助-Realization of the fall detection, which use a Gaussian background modeling, compiled to run successfully, we hope to be helpful
backgroundmodel
- 高斯背景建模 图形图像处理，数字图像处理-background model deal digtial image dealing
DM6437-GMM
- 在DM6437上借助VLIB实现高斯背景建模-With the DM6437 on VLIB Gaussian background modeling
CvPixelBackgroundGMM
- 一种基于混合高斯背景建模算法的运动目标检测背景背景差分源程序-code of mixture Gussian Backgrand Modeling
GaussBGModel
- 本源码具有基于OpenCV的高斯背景建模的功能，将OpenCV1.0加载到VC++6.0上-This source has a Gaussian background modeling based on OpenCV functions, OpenCV1.0 loaded to VC++6.0 on
SILK_GPU
- 一个基于核的在线学习算法，用于背景建模与前景提取，运行于GPU上。-A nuclear-based online learning algorithm for background modeling and prospects extraction, run on the GPU.
SILK-GC_GPU
- 在基于核的在线学习方法的基础上加入了图切割技术，用于背景建模和前景提取。-The kernel-based online learning method based on graph cut technique for background modeling and the prospects for extraction.
SILK_cpu
- 一个基于核的在线学习算法，运行于CPU上，由matlab和c混合编写。用于背景建模和前景提取。-A kernel-based online learning algorithm, running on the CPU, prepared by the mixture of matlab and c. For background modeling and the prospects for extraction.
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
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
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。