搜索资源列表
background
- 之前下载过来的对视频进行高斯背景建模的程序都一样的，可是又不行，所以，自己根据最经典的高斯建模方法构建了背景，缺点是运行时间会有点久-Before download video over the Gaussian background modeling procedures are the same, but they can not, therefore, the most classic Gaussian modeling method to construct the background
Gauss-background-modeling
- 高斯背景建模Gauss background modeling-Gauss background modeling
GMMPackage(12.13)
- 本代码演示了固定相机在光照剧烈变化的情况下对背景和前景提取的算法改进，能够实现抗光照和噪声的有效背景建模和前景提取-This code demonstrates the dramatic changes in the light fixed camera case for background and foreground extraction algorithm improvements, to achieve an effective resistance to illumination a
beijing
- 基于均值法的背景建模的前景目标提取。适合刚接触这一块的人。-Background modeling method based on mean foreground object extraction.
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
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
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
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