搜索资源列表
kdetoolbox(matlab)
- 核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
gauss_model
- 基于opencv写的高斯背景建模的程序。对于车辆检测比较有用
cvbgfggaussmix.rar
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
GMM_opencv.rar
- 用OpenCV实现的GMM背景建模,自己写的,一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
GaussBackGroundModel
- 最基本的混合高斯背景建模matlab源代码,本人用于火灾烟雾检测的毕设代码,已运行成功,很好的检测运动目标的算法。-Effective Gaussian mixture learning for background model to detection moving goal.
kalmandlg
- 采用卡尔曼滤波进行背景建模再作差分的方法的车辆检测程序,用到了opencv库-Kalman filter for background modeling method further differential vehicle testing procedures, use the opencv library
GaussBackGroundModel
- 混合高斯背景建模的实现程序,Matlab编写,运算速度极慢,但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。-The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sampl
singleGaussianmodel
- 本码源是针对于单高斯模型算法做的运动目标检测,其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
VIS
- 该源码是关于运动对象跟踪的算法,主要实现了高斯背景建模,全局运动补偿(SIFT特征和RANSAC算法),运动对象检测,对象跟踪算法(Mean Shift,Particle Filter等),对象特征提取(轨迹,大小,起止帧等),同时,程序基于VC2008+OpenCV开发,实现了对话框式的程序界面,效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
mixture_gaussians
- 实现高斯背景建模,并且提取运动目标。具有良好的适用性-Gaussian background modeling to achieve, and extract the moving target. Good applicability
20101201
- 首先从视频中提取100张图片,用其中五十张图片根据平均值法获得背景图片,然后做差,二值化,提取目标。-First, extracting 100 images from the video ,using fifty pictures to obtain the background image with the method of average. Then frame difference, binary, extracting the target.
Small-and-weak-target-detection
- 针对基于可见光视频图像处理的水上弱小目标检测中存在的问题, 综述目前该领域的国内外研究进展, 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足, 指出目前需要解决的问题, 并展望该领域的研究前景-In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing,the re
SDFS
- 区域相关的核函数背景建模算法Region the nuclear function of background modeling algorithm-Region the nuclear function of background modeling algorithm
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。-The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.
vibe建模
- VIBE 很好的一种背景建模方法。适合运动目标的建模,不适合长时间不动的物体
均值法背景建模
- 使用matlab语言,进行均值法背景建模,并进行差分得到运动目标区域。
gmm(2)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法,它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB
均值背景学习法
- 均值背景学习法的MATLAB实现,设定学习因子a进行循环迭代,完成背景建模,a为新图像对原图像的影响(MATLAB implementation of mean background learning method)
gaosi
- 在视频监控中采用背景相减法时,采用单高斯背景建模建立背景模型(Background subtraction for setting up a background model)