搜索资源列表
gausse
- 基于opencv的vc++的高斯背景建模代码-gausse background modeling
GMM
- 混合高斯背景建模，可以把连续帧图片前景与背景区分开来-Mixed gaussian background modeling, can continuous frame picture foreground and background to distinguish
zhongzhi
- 在MATLAB中实现中值法图像背景建模，大家互相学习！-Median method image background modeling in MATLAB, we learn from each other!
shexiangtoudeweidaima
- 摄像头的相关处理，背景建模，运动物体检测,简单的思路-A correlation process of the camera, background modeling, the moving object detection, the simple idea
gauss
- 高斯背景建模，用于分离视频图像的前景色和背景色-Gaussian background modeling, foreground and background colors for separation of video images
1GHY3249GAOSI
- 对视频进行操作，基于混合高斯背景建模的运动检测。-Video, movement detection based on Gaussian mixture background modeling.
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
GMMPSkinColor
- 经典的高斯混合模型背景建模+肤色检测的Matlab实现-Classic Gaussian mixture model background modeling+ skin detection Matlab achieve
Untitled
- 基于背景减除法的混合高斯背景建模，用于检测运动目标-Gaussian mixture background modeling based on background subtraction method for detecting moving targets
lena-(1)
- 高斯背景建模，适用于视频处理，效果好，用了就知道哦-Gaussian background modeling, applicable to video processing, the effect is good
particle-tracking
- 该代码是基于背景建模的粒子滤波算法程序，代码可以运行，且效果很好。-The code is the procedure of particle filter algorithm based on background modeling, the code can be run, and the effect is very good.
GaitRecognition
- 里面包含了步态识别的整一套流程的代码实现，包括从视频流里面提取图片帧，背景建模，提取运动目标（运动检测），形态学处理（膨胀与腐蚀，连通性检测），归一化大小，步态能量图的构建，主成分分析（PCA）降维,线性判别分析（LDA）分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from th
GMM
- 是opencv 混合高斯模型的原函数，并进行了修改可以实现前景提取并进行背景建模-opencv GMM
bjjc
- 利用背景建模检测运动物体（推荐）,适合新手练习以及使用的模板。-Background modeling moving object detection (recommended), suitable for the novice practice and the use of templates.
background
- 无摄像机抖动的背景建模方法，使用张量分解，需要张量工具箱的支持。-a background estimation method, using tensor factorization.
motioncompensation
- 一种带有摄像机抖动的背景建模方法，使用张量分解和仿射变换，需要张量工具箱的支持。-a background estimation method with dynamic change,using tensor factorization and affine transform
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.