搜索资源列表
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
3
- 本程序利用背景建模检测运动物体，背景差分法-This procedure detects moving objects using background modeling, background subtraction method
bgfg_acmmm2003
- 2003年的背景建模，效果比高斯好，集成在opencv库-2003 background modeling, the effect is better than the Gaussian, integrated in the opencv library
bgmodel
- 混合高斯背景建模，基于HSV空间的阴影去除，直接打开avi文件即可运行得到理想的结果-Gaussian mixture background modeling, shadow removal based on HSV space, directly open the avi file to run to get the desired results
mixture_of_gaussians
- 这段代码是在matlab上运行的，能实现对视频的图像处理，即高斯混合背景建模方法。-This code is run in matlab that can realize the video image processing, namely Gaussian mixture background modeling method.
beijingjianmo
- 多尺度高斯背景建模下的，车辆检测程序。C/C++语言-Multiscale Gaussian background modeling under the vehicle testing procedures. C/C++ language
gaussian4_28
- 用matlab实现混合高斯背景建模,进一步检测出运动目标-Using matlab to achieve Gaussian mixture background modeling
person-detection
- 采用混合高斯模型和codebook分别进行背景建模，实现行人检测-person detection, GMM and codebook
code_june2010
- 多摄像机多目标跟踪算法, 具体包括混合高斯背景建模, distancemap团块映射, 粒子滤波跟踪, 匈牙利算法信息融合等.-multi camera tracking
xiantian
- 浅论混合高斯背景 关于高斯背景建模的一篇概述论文-On the Gaussian mixture background modeling method
090406
- 基于自适应混合髙斯模型的时空背景建模 论文-Gao hybrid model based on adaptive space-time background modeling Adams Papers
gauss-background-model
- 对OPENCV中高斯背景建模方法的理解，对实现函数中的关键程序进行注释，有利于读者进一步深入理解和学习-gauss background model
GMM
- 基于混合高斯背景建模的目标运动意图分析,通过混合高斯背景建模进行前景提取，自己写高斯模型，并非通过OPENCV函数库-motion detection based on GMM method
try2
- 对输入视频文件首先进行处理，使用高斯背景建模的方法，提取出视频的前景，然后对视频前景提取出其MSRE区域，并使用不同的颜色标记，最终保存成视频文件的形式。-First, the input video file is processed using a Gaussian background modeling method to extract the video foreground, and then extract its MSRE video prospect area, and use
gaussian3
- 对输入视频进行处理，使用高斯背景建模的方法，得到视频前景，对于人群密度估计具有很大作用。-Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.
frame-difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用Mat类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using Mat type.
difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
frame-difference(IplImage
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。加入空的工程即可运行。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
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-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking
meanshift
- meanshift算法的跟踪 高斯背景建模 opencv程序-meanshift tracking