搜索资源列表
vcvs2010snows
- VS2010版漫天飞舞的雪花Demo源码,主要讲解了在GDI中粒子的运用,游戏基础物理建模,粒子系统的模拟程序,源码编译环境为VS2010.其实VS2005,VS2008也可以编译运行。本实例包括了VC++6.0源码版本。MyPaint函数的书写思路是,先初始化每个粒子,这里是共50个粒子。然后贴上背景图到mdc中,再用循环将各个粒子也贴到mdc中,循环完成之后,再统一将mdc中的内容直接贴到hdc中。这样做的优点是比较直观,提高了贴图的效率。-VS2010 version of the fly
The-programming-collective-wisdom
- 《集体智慧编程》(programming collective intelligence building smart web 2.0 applications)以机器学习与计算统计为主题背景,专门讲述如何挖掘和分析web上的数据和资源,如何分析用户体验、市场营销、个人品味等诸多信息,并得出有用的结论,通过复杂的算法来从web网站获取、收集并分析用户的数据和反馈信息,以便创造新的用户价值和商业价值。全书内容翔实,包括协作过滤技术(实现关联产品推荐功能)、集群数据分析(在大规模数据集中发掘相似的数
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.
Gaussian-mixture-model-algorithm
- 完整的背景混合高斯建模的程序,很不错,很好用-Gaussian mixture model algorithm
FastMixGauss
- 针对视频序列运动目标检测,用vc++实现快速高斯混合建模进行前景背景的分离。-In motion object detection of video sequence, with vc++ realize rapid gaussian mixture model carries on the separation between foreward and background.
Gaussian-mixture-modeling
- 通过对序列图像进行混合高斯建模,分离背景和前景目标。-Gaussian mixture modeling of image sequences, separation of background and foreground objects.
mixture_of_gaussians
- 基于改进混合高斯模型的方法进行初始背景的建模及背景更新-Improved Gaussian mixture model-based approach, the initial background modeling and background updates
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
VIBE
- 可视背景提取算法源码加论文,最近的建模方法-Visual background extraction algorithm source code plus papers, recent modeling method
GMMUD
- 用混合高斯模型对背景进行建模,从而提取背景-update background
mixture-of-gauss
- 该程序主要是实现多模态背景下的混合高斯建模,提取稳定背景图像。-The program is mainly to achieve the mixture Gauss model of multimodal background, background image extraction stability.
MovingDetect
- Matlab的运动目标分割 车辆检测 平均建模背景差分-Matlab moving object segmentation of vehicle detection modeling background difference on average
BackgroundCodebookConstruction
- 背景分离码本建模法,在静态背景下检测运动物体,并提供了一段监控视频以供测试-Background Modeling and Subtraction by Codebook Construction. Supply a video for testing.
zihuigui
- 自回归模型是数学预测计算中很常用的模型,用途广泛,在工程实际背景或者数学建模竞赛中都会经常用到-Since the regression model is very commonly used mathematical calculations to predict the model, widely used in engineering or mathematical modeling contest in the background are often used
gmm
- 混合高斯模型使用K(基本为3到5个) 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型,他主要是有方差和均值两个参数决定,,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模,因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙
single-gaussian-background-model
- 单高斯模型是一种图像处理背景提取的处理方法,适用于背景单一不变的场合,其他如混合高斯模型等方法都是对单高斯模型的扩展,单以单高斯模型最为简便,而且采取参数迭代方式,不用每次都进行建模处理。-Single gaussian model is a kind of processing methods of background extraction, image processing is suitable for the single constant background, other meth
ThisGMM1
- 图像背景动态建模,采用高斯滤波,比差分法效果好,适合运动场景的前景、背景分离-Image background dynamic modeling, using a Gaussian filter, better than the difference method results, prospects for sports scene, background separation
GAUSSIAN
- 视频图像处理,采用背景减除法中单高斯建模进行前景和背景的分离-Video image processing, background subtraction method using a single Gaussian modeling conducted foreground and background separation
mixture_of_gaussians
- 视频图像处理,采用背景减除法中混合高斯建模进行视频前景和背景的分离-Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video
mixture_gaussians
- 基于混合高斯背景模型的建模,用于视频运动区域提取,很有用的代码,希望对学者有所帮助-Modeling of mixed Gauss background model based on, for video motion region extraction, very useful code, and I hope to help scholars