搜索资源列表
Motion_detect_with_RGBshadow_remove
- 利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。-Motion detection by background subtraction and RGB shadow removing method.
Passenger
- 基于视频处理的背景检测，前景提取，以及进行开运算等操作，代码在VC6.0环境下可以直接运行，对于视频处理学习有很大帮助。-Detection based on the background of the video processing, extraction prospects, as well as operations such as opening operation, code can be run directly in VC6.0 environment, learning for
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
ocvgrabcut
- opencv中使用grabcut对lena图像进行前景提取-prospects of Lena image are extracted by using the grabcut
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
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
cvblob-0.10.4-doc
- 团块跟踪 可以实现前景提取并做团块提取检测并框出来 由官方提供-Mass tracking can be extracted and made the prospects for detecting and extracting lumps out of the box provided by the official
TCOblDetector
- 一个目标跟踪算法，基于背景建模，前景提取，进行目标跟踪。-a object dector base on background model.
street1
- 对红外热感相机采集的图像进行处理，采用混合高斯模型进行前景提取，实现对画面里人的跟踪-Infrared thermal camera captured images are processed using Gaussian mixture model foreground extraction, to achieve the picture tracking
variance_map
- 图像的方差映射，可用于前景提取和目标区域定位-Variance mapped of image, which can be used for foreground extraction and the interest area location.
traffic
- 一种实现运动车辆检测的方法，并且可以把运动物体标记出来，同时实现背景提取，前景提取等功能。-A method for detecting the motion of the vehicle to achieve, and the moving object can be marked, at the same time, background extraction, foreground extraction functions.
ViBe_track
- 利用opencv，基于vibe算法，编写的前景提取程序，效率高，速度快，效果好-Using OpenCV, based on the vibe algorithm, the preparation of the prospect of the extraction process, high efficiency, high speed, good results
GMM
- 使用背景减进行前景提取，并进行人群密度检测-Foreground extracted using background subtraction, and crowd density detection
Bayesian-Modeling
- 基于贝叶斯的动态场景中的物体检测 背景去除 前景提取-Bayesian Modeling of Dynamic Scenes for Object Detection
Single-Gaussian-Model
- 单高斯模型视频背景前景提取，，内附源码、测试视频、测试结果等-Single Gaussian model background foreground extraction ,, enclosing video source, the video test, test results, etc.
demo
- 利用训练集训练一个高斯模型，进行运动目标的提取（文件中包含数据集）(Use the training set to train a Gaussian model to extract the moving object (the file contains the data set))
OpenCV_ImageBackgroundRemoval-master
- 把简单背景图像过滤掉，只保留前景图像，太过于复杂的背景，比如森林街道效果会非常差(Filter out the simple background image)
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
matlab
- 用改进帧间差分法提取前景运动目标，运行速度快，但是精度较低(An improved frame difference method is used to extract foreground motion targets)
动态背景
- 用vibe算法提取动态背景的前景信息，背景为白色(Vibe algorithm is used to extract foreground information of the dynamic background, the background is white)