搜索资源列表
object-detect-and-recogonise
- 以混合高斯模型为基础,利用背景差分法获得目标图像并有阴影检测的方法进行目标检测-The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection
YCbCrGauaaModel
- 利用基于YCbCr空间的高斯模型建立背景,并实时更新,通过背景差分法检测出道路中的运动车辆目标,效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
detect
- 使用背景差分法,采用了高斯滤波法对其进行平滑,然后将视频的第一帧作为背景,其次,对去噪后的图像做帧与背景间的差分运算,再利用阈值分割,将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential e
leaves-bass-algorithm
- 这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。-This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian
MATLAB
- 用有限差分模拟高斯脉冲在自由空间传播,运行该脚本,你会得到一个表面,它是由脉冲在1微米的步骤传播。 -Using the finite difference simulation of Gaussian pulse propagation in free space, run the scr ipt, you will get a surface, it is spread by the pulse in steps of 1 micron.
gaussian-filters
- 非线性问题的高斯滤波,包含了贝叶斯递归滤波、高斯-厄尔米特滤波、中心差分滤波、混合高斯滤波等先进滤波方法-Gaussian filters for Nonlinear filtering problems
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
edge
- 采用Canny算法进行边缘检测。主要包括以下几个步骤:1、用高斯滤波器平滑图像。2、用一阶偏导的有限差分计算梯度的幅值和方向。3、对梯度幅值进行非极大值抑制。4、用双阈值算法检测和连接边缘。5、采用高斯平滑函数-Using the Canny edge detection algorithm. Include the following steps: 1, smooth image with a Gaussian filter. 2, first-order partial derivative
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
gaussandsine
- 时域有限差分方法 1维 产生正弦波和高斯波 犹他州大学程序-fdtd method 1D sinewave and gausswave www.ece.utah.edu
1d_fdtd-gaus-with-pec
- 一维线性高斯电流源时域有限差分算法,pec边界-One-dimensional linear Gaussian current source FDTD algorithm, pec boundary
Moving-target-detection
- 运动目标检测的一些程序,包括帧差法、三帧差分法和混合高斯模型-Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model
curvature
- 利用差分法求图像中每点的曲率!本方法求得的是高斯曲率!-Differential method for the curvature of each point in the image!
changweifenfangcheng
- 在matlab中,求解插值运算问题,求已知数据点的拉格朗日插值多项式 求已知数据点的艾特肯插值多项式 求已知数据点的均差形式的牛顿插值多项式 求已知数据点的前向牛顿差分插值多项式 求已知数据点的后向牛顿差分插值多项式 求已知数据点的高斯插值多项式 求已知数据点的埃尔米特插值多项式 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 求已知数据点的二次样条插值多项式及其插值点处的值 求已知数据点的第一类三次样条插值多项式及其插值点处的值 求已知数据点的
chazhi
- 求已知数据点的拉格朗日插值多项式 求已知数据点的艾特肯插值多项式 求已知数据点的均差形式的牛顿插值多项式 求已知数据点的前向牛顿差分插值多项式 求已知数据点的后向牛顿差分插值多项式 求已知数据点的高斯插值多项式 求已知数据点的埃尔米特插值多项式 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 求已知数据点的二次样条插值多项式及其插值点处的值 求已知数据点的第一类三次样条插值多项式及其插值点处的值 求已知数据点的第二类三次样条插值多项式及其插值点处
detect-motion
- 在VC++6.0的MFC中结合opencv1.0的环境中编写的运动目标检测,采用的是背景差分法,混合高斯背景建模-Combined opencv1.0 environment written in the MFC VC++6.0 moving target detection using background subtraction method, Gaussian mixture background modeling
Numerical-solutions-for-Matlab
- matlab常用数值计算,包括牛顿迭代,拉格朗日插值法,牛顿差值,高斯消元,三角分解法,追赶法等。-matlab numerical calculations, including Newton iteration, Lagrange interpolation, Newton difference, Gaussian elimination, triangular decomposition, and catch up with the law.
beijingjianmo
- 该程序实现了,单模态的高斯背景建模,进而进一步实现图像背景差分-The program implements, single mode Gaussian background modeling, thus further realization of image background difference
The-infrared-target-detection-method
- 本程序采用matlab编码,一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能,代码检测易懂,适合初学者多多借鉴~-This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways
myGaussSeidel
- 用高斯赛德尔迭代法解椭圆型方程,这是一种差分解法-High Sisaideer iterative method for solving elliptic equations, which is a differential solution