搜索资源列表
gmmbeijing
- 基于opencv的混合高斯背景模型,用对运动目标的背景提取,可保存背景 -Opencv-based mixture Gaussian background model with the moving target of the background extraction, background can be saved
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法,m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
Gauss
- 两篇关于目标检测、跟踪的硕士论文,里面有关于多高斯背景模型的描述,作为学习,不错的资源-Two on target detection, tracking, master' s thesis, which has more than Gaussian background model for the descr iption, as a learning, a good resource
OpenGL-model-rendering
- OpenGL真实感模型绘制与应用 实现功能: *利用交互式方法,操纵浏览模型细节,能方便观察模型。 *能够用不同的方式(如上截图)渲染模型,增加光照控制、坐标系的显示等等。 *利用luweiqi模型,设计了一个简单的真实感三维动画。 动画介绍: 打开程序运行后,luweiqi 出现在屏幕中,并且自动播放背景音乐《天下无双》 按数字‘7’键开始播放动画,模型向后渐行渐远,然后开始旋转,不久变成画线模式, 隐没于黑暗中后变成点模
the-prediction-of-grey-model
- 实现灰色模型预测功能,并对其背景值求算进行改进-acheive the prediction of grey model,and improve the computation of background value
mixture_of_gaussians
- 完整的混合高斯模型,能够很好的尽力背景模型-Complete Gaussian mixture model, very good to try to background model
Gaussian-mixture-model-Article
- 高斯混合模型的背景提取,目标检测算法的几篇论文!对于理解和研究高斯模型有很大帮助!-Gaussian mixture model for background extraction, several papers in the target detection algorithm! For the understanding and study of the Gaussian model of great help!
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。
MixtureOFGaussians
- 实现混合高斯背景建模,对给定图像序列进行背景建模.内置的参数可以自行修改,以适用不同的应用需求。-mixture of gaussian,it will help you to construct the background model of series frames
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
Gaussian-mixture-model-based
- 基于自适应学习速率混合高斯模型的背景消除-Gaussian mixture model-based adaptive learning rate background elimination
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
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
gaussianBkModelTest
- 混合高斯背景模型,用于前景提取,对复杂光线等因素鲁棒性较好-The mixed Gaussian background model for prospects extract better robustness of complex lighting and other factors
src
- 背景减除的完整算法,《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码-The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" fold
Model-background
- 本算法实现的是对复杂背景的建模,从结果中发现所建模型较好。-The algorithm to achieve the modeling of complex backgrounds, found that from the results of the proposed model is better.
model
- 比较精美的后台管理系统模板,供新手参考借鉴-Beautiful background management system template, provide references for novice
gaussian-mixture-model
- 基于高斯混合模型的背景减除法,及目标检测额实现-Based on the background of the gaussian mixture model reduction division, and target detection amount to realize
ForegroundExtract
- 视频捕捉的对象中,背景通常保持不变。一般分析中关注移动的前景物体,威力提取出前景物体,需要建立背景的模型,将模型和当前帧进行比对检测前景物体。前景提取应用非常广泛,特别是在智能监控领域中。 如果有不含前景物体的背景图片,提取前景的工作相对容易,只需要比对当前帧和背景图片的不同,调用函数absdiff实现。但是大多数情况,获得背景图片是不可能的,比如在复杂的场景下,或者有光线条件的变化。因此,就需要动态的变换背景。一种简单的办法是对所观察到的图片取平均,但这样做也有很多弊端,首先,这种办
TestCodeBookEx2
- Codebook 码本VC实现,背景模型建模,对于视频监视,提取运动物体-background model using code book